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Guide: Philosophical Questions

  • Introduction to the Topic

    Podcast

What is (not) a philosophical question?

A philosophical question versus a mere question: A philosophical question is not simply any question in the form of an interrogative sentence, but rather a problem of substance. It is aimed at a need for intellectual clarification. Or, as one might put it pointedly: „A philosophical question is not a mere grammatical question, but an intellectual problem that requires systematic clarification“. Concretely, this means that such a question identifies a non-trivial conflict or field of tension that cannot be answered by a simple fact or a yes/no, but only through conceptual and normative analysis. A well-chosen philosophical question thus brings to light a theoretical or normative problem that requires argumentation.

If you are convinced that you have found a question for your term paper or essay, please put your conviction to the test. Ask the AI whether your question is essentially an empirical question, or a political-moral question, or one that can be answered with „yes“ or „no“. (Always ask several times – against the grain!) If your question falls into one of these categories, you know that you do not have a philosophical question.

To draw the distinction: simple or everyday questions (e.g. „Is X right or wrong?“ without context) are not sufficient. Such banally formulated yes/no questions fall short. They can often be answered empirically or by means of a survey and do not touch upon any deeper problem. A question becomes philosophically relevant only once one examines the underlying concepts, values or contradictions. One example: „Is hunting as a hobby justifiable?“ could be answered banally with „yes“ or „no“ (for instance, through opinion polls) – which would achieve little philosophically. The subject becomes interesting, however, once one asks why and under what premises hunting as a hobby might or might not be justifiable. To do so, one must illuminate the normative categories and tensions within this subject (such as animal suffering versus tradition, nature conservation versus individual freedom, and so on). It is precisely through this that the philosophical content of the question arises.

Asking whether one may produce animals for human consumption is not a philosophical question. The conflict between an „animal-cruel morality“ and animal ethics as such constitutes the subject matter of a philosophical question, insofar as what would need to be clarified is precisely what structurally constitutes this normative contradiction, and how ethics positions itself as a critical system of reflection vis-à-vis moral practice. Moral conceptions (e.g. cultural practices), political agendas, or empirical investigations into the relationship between humans and animals are not philosophical questions, since they do not constitute open, problematic questions admitting of argumentative or conceptual discussion. A genuine philosophical question in this context requires, rather, that a normative, validity-theoretical or epistemic problem be formulated (for instance: the contradiction mentioned above itself), one that remains argumentatively open and requires a methodically grounded structure of justification – that is, a normative analysis, an epistemic analysis, or a validity-theoretical analysis.

The normative contradiction between an „animal-cruel morality“ and a reflected animal ethics can be philosophically productive in various respects – particularly with regard to its value-theoretical, validity-theoretical and epistemic added value:

The value-theoretical added value of the contradiction lies in the fact that it renders visible a normative field of tension: on the one side stand lived moral practices that instrumentalise animals or regard suffering as irrelevant; on the other side, animal ethics demands a fundamental recognition of animal welfare and moral consideration. This opposition makes clear that values do not simply exist, but can come into conflict – and can only attain their normative legitimacy through a well-founded ethics.

In validity-theoretical terms, the contradiction increases the thematic density: it raises the question of the basis on which ethics can claim normative validity at all, when it seeks to oppose established, morally divergent practices. Here the path opens toward discourse theory or validity theory – for instance in the tradition of Habermas/Apel – according to which moral norms can claim validity only if they are capable of finding general acceptance through rational agreement.

Epistemically, the contradiction has the potential to alter moral insights within the population: once it becomes clear that common moral practices (e.g. the use of animals) are not ethically justified, this can lead to a shift in consciousness – provided that the arguments are conveyed and reflected upon in an epistemically convincing manner. The contradiction thus generates cognitive dissonance and opens up space for moral development.

And finally, the question arises: does contradiction destroy normativity? Not necessarily. A contradiction points, rather, to the necessity of normative reflection: the mere fact that moral practices stand in contradiction to one another does not mean that normativity is impossible. Rather, the contradiction challenges us to legitimise norms and secure them epistemically through theoretically grounded, argumentatively open discourses (normative and validity-theoretical analyses). Thus normativity is not destroyed, but its grounding becomes methodically necessary.

Features of a philosophical question: In summary, several important criteria can be identified that a question must fulfil in the philosophical sense:

  • Problematisation rather than a mere topic: The question must formulate an intellectual problem, not merely describe a topic or intended undertaking. A statement such as „This paper compares Theory A and Theory B“ is not a question – it merely names a topic or an intention to work on something, but formulates no intellectual problem in the philosophical sense. What is missing here is a question that goes beyond mere description. A genuine question would, for instance, ask at what point or in what respect Theory A and B stand in conflict, or what philosophical insight can be gained from comparing them.
  • A field of tension rather than a trivial answer: Good questions are characterised by the fact that they reveal a relation of tension or a contradiction that must be clarified argumentatively. They do not simply amount to a ready-made judgement, but rather open up a space for discussion. Or, put differently: „A question [...] designates a space of tension that must be opened up argumentatively. It demands not merely a judgement, but a reconstruction of the justifications and a weighing of competing [...] principles.“. If the question aims from the outset merely at confirming a position (e.g. „Is Theory A superior to Theory B?“), there is a risk that one merely establishes a yes or no. It is better to frame the question in such a way that both positions are brought into relation with one another and the conditions of the arguments for and against them are examined.
  • Not forcing a decision in advance: Related to this is the requirement that the question should not merely ask for a judgement. Students often make the mistake of formulating the question in such a way that, in the end, only a winner is declared (such as „Who is right – Epicurus or Nagel?“). Such a question is of little help, since it narrows the analysis down to a mere decision. Instead, the question should unfold a problem whose clarification is the actual aim. For example, instead of „Is Nagel right with his thesis?“ a better question would be: „To what extent does Nagel's thesis depend on premise X, and what does this mean in comparison with Epicurus's approach?“. This outlines a field of problems rather than merely anticipating a judgement in advance.
  • An appropriate focus (neither too broad nor too narrow): A philosophical question should be clearly delimited without becoming overly simplistic. If it is too broadly framed, the treatment remains superficial; if it is too narrow, it loses relevance. A successful example of this balance: „To what extent can the right of democratic nation-states to control migration be morally justified, when […] minimal equality of opportunity […] is taken into account?“ This question is neither too general (not merely an overall discussion of migration) nor too specific (it does not deal only with an individual case), but allows for a reflected weighing of differing claims of justice. – In general, it holds that a precise question zooms in on a particular aspect that can be manageably worked through, yet it does not artificially delimit the problem in such a way that it becomes trivial.
  • Clearly defined concepts: Philosophical questions often employ concepts with a claim to meaning (e.g. „justice“, „knowledge“, „consciousness“, „the good“). A good question ensures that the central concepts are clear, or are clarified in the course of the inquiry. Unclear or ambiguous concepts must be made precise, otherwise the question remains blurred. For instance, instead of „Is system XY just?“ one should rather ask: „By what standards of justice can system XY be evaluated (utilitarianism versus principle-based ethics)?“. In this sense, good questions avoid vague placeholder words. (One example: the addition of „systematic“ in a question, without further specification, says everything and nothing – one would need to state to what „systematic“ refers. Such vagueness must be eliminated.)

In summary: philosophical questions aim at understanding and clarification, not at the mere establishment of facts. They often arise out of tensions – for instance between two theories, between intuition and theory, between differing standards of value or concepts – and call for engagement with these tensions. A mere restatement of known positions is not a question; a well-thought-out question develops out of a problem and leads to an investigation that can be answered in the conclusion (through a well-founded position, not through a mere assertion).

How do I develop a research question? How do I integrate it into my introduction?

Students who are inexperienced in philosophy in particular often ask themselves: How do I get from a vague interest or topic to a precise question? – Here it is advisable to proceed methodically in several steps. In essence, this corresponds to the logical structure of an introduction to a philosophical paper. One may bear the following steps in mind:

  1. Starting point: naming a concrete phenomenon or topic. At the outset there usually stands an observation, experience, or practice that prompts one to reflect. This step is meant to show why the topic is relevant at all – often by naming a real, societal, or theoretical context. (A philosophical problem appears more compelling when it is clear why it matters beyond the everyday.) – Example: In a paper on animal ethics, one might begin with: „In Germany, millions of wild animals are killed every year by hobby hunters. This practice is justified by its proponents as part of cultural tradition or as a conservation measure, yet it is increasingly subject to criticism.“. This immediately informs the reader: there is a real phenomenon (hobby hunting) and there are controversial views about it – thus motivation to think further.
  2. Presentation of the problem: working out the philosophical problem (the field of tension). Now it is necessary to show which problem or conflict is contained within the phenomenon named. It is not enough simply to raise a topic; one must make clear in what the philosophical question consists. This often means naming a contrast of values or concepts. – Rationale: Philosophy begins where a problem becomes visible that cannot be resolved by purely empirical means. – Example: Continuing on, one might formulate: „The ethical assessment of hobby hunting is contested, because it oscillates between different normative perspectives: on the one hand, it is supposed to regulate animal populations; on the other hand, it causes avoidable suffering and instrumentalizes animals as objects of human amusement.“. This clearly states the normative conflict – here, a tension between conservation/cultural tradition and animal welfare/well-being. The reader recognizes: there is a dilemma, or at least a conflict of principles, that requires clarification.
  3. Clarifying the conceptual and theoretical context: Subsequently, one should outline on which theoretical basis or with which conceptual tools the problem is to be approached. That is to say, one names the relevant theories, concepts, or authors that serve as a framework. – Rationale: This makes clear which definitions and basic assumptions are in play and on what basis one grounds one’s analysis. – Example: In the case of hobby hunting, one might state: „The philosophical discussion touches upon central categories of animal ethics such as sentience, inherent worth, and the unfolding of capacities (cf. Ursula Wolf, Martha Nussbaum), as well as ecocentric and cultural models of justification (cf. Holmes Rolston, Roger Scruton).“ This makes clear which concepts (animal suffering, intrinsic value, capacities, ecosystem, cultural tradition, etc.) are relevant and signals that one will, for instance, compare positions from various ethical theories. It is important that all concepts central to the question be introduced and defined in the theoretical section, so that the question can be treated with precision.
  4. Sharpening the focus: from the general problem to the concrete question. One now condenses the considerations made so far into one precise interrogative sentence. The tensions and concepts previously outlined provide the material needed to ask in a targeted manner. This question formulates precisely the intellectual puzzle that the paper aims to solve, or at least to discuss. – Rationale: Without this precise guiding question, one risks the paper slipping into mere description; a clear question, by contrast, compels focus and argumentation. – Example: On the basis of the conflict outlined above, the concrete research question might read: „To what extent does the practice of hobby hunting reveal a conflict between concepts of animal ethics (sentience, inherent worth, the development of capacities) on the one hand, and cultural as well as ecological patterns of justification on the other?“. This question is precise: it names two sides of a conflict and asks about the relation or tension between them (“to what extent … conflict between …?”). One sees that the question already implies that a simple answer (“hobby hunting yes or no”) does not suffice – the point is to work out this conflict.
  5. Positioning: formulating a thesis as a provisional answer. Finally – often at the end of the introduction – one formulates a thesis, that is, one’s own answer or position, which one will develop and substantiate over the course of the paper. The thesis answers the question in nuce and provides the paper with an argumentative guiding thread. – Rationale: A good thesis creates clarity about the direction of the argument and connects all parts of the paper into a coherent thread. Important: a thesis is more than an opinion; it is a substantiable claim that can be argumentatively supported (and also tested in discourse). – Example: Fitting the question above, a thesis might read: „Hobby hunting can only be philosophically understood if it is regarded as a borderline case in which cultural tradition and conservation arguments come up against the normative limits of the principles of animal ethics. It thereby shows that, consistently applied, concepts of animal ethics fundamentally exclude the killing of animals for the sake of mere recreational interest.“. This thesis takes a clear stance: it suggests that, from a strictly animal-ethical point of view, hobby hunting cannot be morally justified, because the counterarguments (tradition, conservation) reach their limits. At the same time, however, it is not an unreflective judgment; rather, it arises from weighing the conflicts mentioned (tradition vs. animal ethics) and contains testable claims (for instance: hobby hunting = borderline case, animal ethics excludes recreational hunting). – A good thesis is not trivial (it should not assert something self-evident), but rather offers points of departure for criticism and discussion. It should be formulated in such a way that one can adduce arguments in its favor in the main body, while perhaps also having to discuss counterarguments. In this way, the thesis remains open to discussion and can, in the end, either be confirmed or modified – which is itself a sign of philosophical reflection.

These five steps are, in a sense, the recipe for the introduction of a philosophical term paper, but they can equally be used to develop a question for oneself, in one’s own thinking. By going through this process (phenomenon → problem → theoretical reference → question → thesis), one ensures that the question is substantively well-founded and that one has, oneself, a clear notion of what one actually wishes to examine. Often, in the course of this process, one notices whether the question can be answered and whether it is fruitful enough – or whether it still needs to be adjusted.

Now to the practical support offered by Artificial Intelligence (language models such as ChatGPT): For students, an AI language model can be a valuable tool for progressing from initial ideas to precise research questions and theses. It is important here to employ the AI in a targeted and reflective manner – as a sparring partner in the thinking process, not as a substitute for one's own thinking. In what follows, some concrete steps and scenarios illustrate how one may develop suitable questions and theses with the aid of AI:

Steps:

  1. Put your topic idea into words and explain it to the AI: Begin by describing to the AI, in a few sentences, your rough topic or interest. Formulate what interests you and why you believe there might be something problematic or exciting about it. Do not hesitate to mention your conjectures or uncertainties already. – Example: "I would like to write a paper on the ethics of recreational hunting. I am interested in whether hunting as a leisure activity is morally defensible. On the one hand, it is justified by tradition and nature conservation; on the other hand, many think it is cruel to kill animals for fun. I wonder what lies behind this philosophically." – Through such a description, you give the AI context so that it understands what is at stake.
  2. Ask the AI for possible research questions: Now ask the AI directly for help in finding a research question. For instance: "Can you help me formulate a precise philosophical research question from this topic?" Or more concretely: "What philosophical questions arise from the conflict between tradition and animal suffering in recreational hunting?". – A good AI (such as ChatGPT) will usually respond with suggestions. It might, for example, answer: "Possible research question: 'To what extent does the practice of recreational hunting reveal a conflict between animal-ethical concepts of sentience and intrinsic value on the one hand, and cultural and ecological patterns of justification on the other?'" and perhaps even add a proposed thesis. – Indeed, this was precisely a research question that ChatGPT once generated from a description of the recreational hunting topic, complete with a fitting thesis. This example shows that an AI can often formulate a possible research question in a surprisingly structured manner, even from a rough idea.
  3. Evaluate and adjust the AI's suggestion: Critically examine what the AI proposes. Does the research question truly correspond to your interest? Is it comprehensible and precise? Does it cover the field of tension that you wish to investigate? – Here the criteria mentioned above come into play: if the AI's suggestion is too vague or contains terms that seem unclear to you, you should press further. Do not hesitate to ask the AI targeted follow-up questions, such as: "Can you explain what is meant here by 'systematically weighing against one another'?" or "The term X seems too imprecise to me – could you formulate the research question more precisely?". A good AI model will respond to such requests and, for example, define terms more precisely or offer alternative formulations. – Example (self-correction by the AI): In one case, the AI inserted the word "systematically" into a research question ("… systematically weighs against one another …"). Upon inquiry, it turned out that "systematically" served here as a placeholder and actually needed to be made more precise (for instance: logically consistent versus value-theoretically comprehensive, etc.). The AI recognised this deficiency itself when asked to critique its own suggestion: "Without further specification, 'systematically' here means everything and nothing. One would need to state precisely whether it concerns logical consistency, ethical plausibility, ontological basic assumptions, or some other dimension.". This example shows how you can use the AI to uncover weaknesses in formulations. Feel free to ask the AI to review its own suggestion: What might be unclear or clumsy about the research question? In this way, you obtain meta-feedback.
  4. Develop variants and sharpen the focus: It is often helpful to have the AI draft several variants of a research question, especially when the topic is complex. You might say, for instance: "Please formulate two to three alternative research questions that emphasise different aspects." – The AI might then, for example, provide a conceptually oriented variant ("How is the concept of 'harm' respectively grounded in Epicurus and Nagel…?"), a tension-laden variant ("To what extent does the contrast between Epicurus and Nagel reveal...?"), or a meta-variant ("What differing value theories underlie...?"), as has actually occurred in a documented example. Such variants help you decide which research question best captures the core of your interest. You can discuss the advantages and disadvantages of each variant with the AI – often, upon request, a model will also explain which one it itself considers the most promising, and why.
  5. Select and confirm the final research question: Once you have found a formulation that satisfies you, state it once more in your own words (possibly together with the AI) and check whether it meets all the criteria. This is your guiding question. You may ask the AI: "Is there anything about this research question that could still be improved or clarified?" This way, you ensure that no gaps in understanding remain. If the AI notices, for instance, that a particular term remains unclarified, you can either define it directly or address it deliberately within your paper. – Bear in mind: in the end, you yourself must fully understand and grasp the question. The AI is a tool to help you get there, but the responsibility for understanding the question lies with you. Do not, therefore, accept any suggestion blindly, but only if you can truly follow and comprehend it.
  6. Have the AI develop a thesis: Once the research question is fixed, you can, in the next step, ask the AI for a suitable thesis – that is, a possible answer. Formulate your request along these lines: "Suppose this is my research question: […] – what central thesis might I advocate for it?" The AI will typically offer a suggestion. Example from the recreational hunting scenario: the AI proposed the thesis "that recreational hunting can only be understood as a borderline case in which cultural tradition and nature conservation reach the limits of animal-ethical theories, and that animal-ethical principles exclude killing for the sake of leisure interest". – Evaluate the proposed thesis just as critically as the research question. Is it too one-sided or too general? Does it correspond exactly to the question? A thesis should answer the question, but in a concise sentence. If the AI becomes too expansive, you can ask it to be more succinct. Or if the thesis sounds too flat ("XY is ethically wrong."), ask for a more differentiated formulation that also states the conditions or reasons. A good thesis is often a complex sentence that contains a condition or qualification ("depending on whether…", "only insofar as…, provided that…", etc.), so as not to fall into a black-and-white scheme.
  7. Thesis check and self-correction: Finally, you can once again deploy the AI as an examiner. Ask, for instance: "Does this thesis really cover the research question? What counterarguments might speak against it?" This gives you a sense of whether the thesis is tenable. If the AI names relevant counterarguments, you should consider whether your thesis can refute them or whether you need to adjust it. This dialogue is enormously helpful for self-correction: you discover weaknesses in your idea before you begin writing. Strictly speaking, you are already conducting a trial discourse about your core thesis at this stage. Many students find this very helpful for sharpening their own position.

Through all these steps, it becomes clear: the AI does not simply provide ready-made results, but above all a resonance space for your own thinking. By formulating ideas, receiving feedback, asking further questions and refining your thoughts, you are ultimately practising philosophical methodology – only with the advantage that the AI provides answers at any time, allowing you, so to speak, to enter into a continuous dialogue of thought.

One might say that, in conversation with the AI, you pull yourself "out of the mire of your own incompetence by your own bootstraps." This famous image – Baron Münchhausen, who pulls himself out of the swamp by his own hair – stands here symbolically for the paradoxical self-help made possible through the use of AI. What at first appears as entrenched cluelessness (the "mire" of unclear ideas) you overcome by using the AI as a mirror and catalyst. What matters is this: you yourself steer the process of clarification. The AI provides food for thought, criticises formulations, suggests alternatives – but the evaluation and the final choice remain with you. In this way, you not only learn to formulate a good research question and thesis, but also improve, quite incidentally, your capacity for self-correction and philosophical argumentation. Ideally, you emerge from the dialogue with the AI with the feeling that you truly understand your question and can answer it with good reason – a feeling as though you had pulled yourself, mentally, out of the swamp and onto solid ground.

A scholarly paper – especially in the field of philosophy – should not simply present its research question without mediation, but rather develop it step by step out of the subject matter. This means that, in the introduction, you methodically lead the reader towards your research question and make clear why precisely this question must be posed. A merely grammatically formulated question does not suffice; what is decisive is that you disclose an intellectual problem. In other words: a philosophical question identifies a conflict or a field of tension that cannot be answered through simple facts, but rather requires conceptual analysis and argumentation. The art now consists in laying out, retrospectively from your already developed question and thesis, a logical path within the introduction – a procedure that may occasionally strike a novice as though one had to pull oneself out of the mire by one's own hair. Yet with a clear method, this feat can indeed be accomplished.

Below you will find concrete steps by which you can methodically and argumentatively derive your research question within the introduction. These steps are mechanically applicable and help render the introduction comprehensible and purposeful for your readers (in didactic terms, one also speaks here of guiding the reader). Please note: this derivation often also mirrors the path that you yourself took in developing your question and thesis – including the moments of insight and the corrections that arose, for instance, in conversations with fellow students or an AI. Make use of this reflection in order to render your introduction all the more authentic.

Steps for deriving the research question

  1. Choose a starting point: Begin with a concrete observation, fact, or practice that illustrates your area of inquiry and underscores the relevance of the topic. This opening should show why the topic warrants reflection beyond the merely everyday. Example: In a paper on animal ethics, the starting point could be the common practice of recreational hunting: for instance, noting that in Germany millions of wild animals are killed annually by recreational hunters – a figure that touches upon both cultural traditions and conservationist arguments. Through such a concrete point of departure, it becomes clear to the reader wherein the practical significance of the topic lies.
  2. Work out the problematisation: Subsequently, it is necessary to render visible a philosophical conflict or contradiction that arises from the starting point. It does not suffice merely to describe a phenomenon – you must show which values, principles, or concepts collide at this point. Philosophy always begins where simple answers no longer suffice and a problem must be thought through more deeply. Example: In the case of recreational hunting, a normative conflict emerges: on the one hand, its proponents defend it as a legitimate tradition or as a means of wildlife regulation; on the other hand, its opponents criticise the unnecessary suffering and the instrumentalisation of animals for the sake of pleasure. By naming such fields of tension, you justify your research question as a necessary philosophical investigation rather than as a mere yes/no question.
  3. Clarify the conceptual and theoretical context: Now you delineate the theoretical framework within which your question is situated. Present the key concepts, theses, or theories that will be drawn upon in analysing the problem. In doing so, you signal on what basis you will be arguing. Example: In the recreational-hunting scenario, you would here name the relevant positions in animal ethics – for instance, pathocentric ethics (emphasising sentience, as with Ursula Wolf), capability-oriented approaches (Martha Nussbaum), ecocentric perspectives (Holmes Rolston), or conservative ethics (Roger Scruton). These points of reference show the reader which normative standards and concepts will play a role in what follows, and prepare the understanding of the problem.
  4. Sharpen into the concrete research question: Now condense the preceding considerations into your guiding research question. From the tensions and theoretical references sketched out, it should follow logically what question arises from them. Formulate the research question explicitly and precisely, so that it is clear which intellectual puzzle you intend to solve. It is important that a precise question keeps your paper from drifting into the merely descriptive and provides a clear argumentative focus. Example: From the conflict surrounding recreational hunting, the following research question could arise: “To what extent does the practice of recreational hunting reveal a conflict between the animal-ethical concepts of sentience, inherent worth, and capability flourishing on the one hand, and cultural as well as ecological patterns of justification on the other?”. One can see how, here, the previously mentioned elements are bundled into a concrete guiding question.
  5. Positioning through the thesis: Directly following the question (often even in the same breath), you should present your working thesis. This provisional answer to the guiding question gives your reader a frame of orientation: it shows which direction of argumentation you will pursue. Formulate your thesis clearly and with intellectual ambition – not as an incontrovertible truth, but as a well-groundable claim that you will examine in the main body. Example: For the research question above, the thesis might read: “Recreational hunting can only be philosophically understood if it is regarded as a borderline case in which cultural tradition and conservationist arguments reach the normative limits of pathocentric and capability-oriented ethics. It shows that animal-ethical concepts fundamentally exclude the killing of animals for mere recreational interest.”. This thesis makes clear where the journey is heading, and establishes a guiding thread for the entire argument.
  6. Methodological positioning (brief reflection): At the close of the introduction, one or two sentences may be added to indicate how you intend to proceed in addressing the question and the thesis. This brief methodological preview explains the argumentative logic of your paper from the outset. You might, for instance, mention that you will carry out a comparison of theories, analyse central concepts, or weigh normative positions against one another – depending on what corresponds to your approach. In doing so, you show the reader what kind of answer to the question is to be expected, without anticipating the main body. In this way, the introduction appears rounded off, and the reader understands how the research question and thesis will be examined in what follows.

This step-by-step derivation ensures that your research question is developed organically out of the subject matter and does not suddenly appear out of nowhere. Each step fulfils a didactic function: the starting point awakens interest, the problematisation legitimises the question, the theoretical framework supplies the tools, the sharpening formulates the puzzle, the thesis offers a first proposed solution, and the methodological reflection explains the further path.

In closing, a tip regarding reflection: look back upon the process by which you yourself arrived at your research question and thesis. Often, the best justifications for a question arise from the stumbling blocks and insights one encountered during the process of finding one's topic. Perhaps, like many, you initially formulated only a topic or an overly general question, and only through feedback (say, from an AI or in discussion with others) did you notice what was missing. Such experiences can be indirectly drawn upon to improve your introduction. If, for example, you became aware that a concept in your question was still too imprecise, or that no genuine problem had been formulated, then work precisely this clarification into your introduction. The introduction may well reflect which questions, contradictions, or definitions arose in the course of your preparatory process – naturally without becoming personal or explicitly mentioning the writing process itself. By allowing this reflection to flow in, you pull yourself, so to speak, out of the swamp by your own hair: you transform the hurdles of your topic-finding process into substantive building blocks of the derivation. In this way, the resulting introductory text is, in the end, coherent, motivated, and comprehensible for readers, because it derives the research question in a manner that is methodically precise and argumentatively convincing.

Deriving a question is not simply a matter of "writing down" the question, but rather a methodical preparation of the reader for the central problem. An AI can assist in this by functioning as a reflection partner that organises your prior knowledge and makes gaps visible.

Steps:

  1. Sketch your own thoughts:
    Formulate how you yourself arrived at your question. Describe to the AI the path from the topic idea through the problem to the question:
    "I am interested in X because there are tensions between A and B. I have considered whether a question can be derived from this that is more than a yes/no question."
  2. Ask the AI for a rough derivation:
    Prompt the AI as follows:
    "Can you draft a brief derivation for an introduction based on my topic that leads to question Y?"
    You will often receive a logical three-step structure: starting point → problematisation → sharpening of focus.
  3. Critical questioning:
    Examine the draft:
    • Does it cover the field of tension?
    • Is an intermediate step (concepts/theories) missing?
    • Is the language too vague?
      Ask the AI specifically for improvements:
      "Formulate the problematisation more strongly, emphasising concepts A and B."
  4. Generate variants:
    Have the AI produce several variants, for example a problem-oriented one, a theory-based one, a historical variant, a political variant, a variant for pupils, a variant for natural scientists, and so on. This allows you to see different paths to the same question. Yet they always remain philosophical paths towards philosophical question(s).
  5. Finalise and personalise:
    Combine the best elements and revise them so that they represent your own line of argument. Finally, the AI can check:
    "Does this derivation sound logical and convincing?"

Why a functional transition is important

At the end of the introduction to a philosophical term paper, you should deliberately guide the reader into the structure of the paper. This step works like a small Münchhausen trick – almost as if one had to pull oneself out of the mire by one's own hair, by anticipating from within the introduction the line of thought that is yet to follow. Yet it is precisely this forward-looking outlook that forms the common thread to the main body and ensures clarity: the readers learn which main parts will follow, what function they serve in the course of the argument, and why they make sense in precisely this order. In the eyes of the reader, a scholarly paper should always appear logically constructed and comprehensibly structured. Accordingly, it is essential that, at the end of the introduction, you not only state the research question but also announce the methodological approach and the structure of the argumentation from which the outline follows. In this way, you guide your readers with didactic clarity through the line of thought.

In other words: rather than letting the reader plunge abruptly into the main body, the final section of the introduction serves as a bridge between the problem statement and the sketch of the solution. Here you outline, in a few sentences, how you will proceed in order to answer the philosophical question posed. Each section/chapter of your main body is briefly announced in terms of its function within the overall argument. In this way, you take the readership by the hand and stretch out the proverbial common thread from the very beginning – the reader knows exactly what awaits them and why this particular sequence makes sense. Didactically speaking, you thereby increase both the comprehensibility and the persuasive force of your paper, since the inner logic is laid open.

Step-by-step guide: announcing main sections functionally

In order to make the transition to the outline at the end of the introduction concrete and mechanically implementable, you may proceed roughly as follows:

  1. Identify and order the main sections: First, clarify for yourself which main parts (chapters/sections) your argument will consist of. In a philosophical paper, these are often, for example, theoretical foundations, analysis of positions/arguments, and your own discussion/evaluation. Arrange these parts in a logically necessary order. Ask yourself: What does the reader need to know first, before the next point can meaningfully be understood? The order may be justified, for instance, chronologically (historical overview before current debate), systematically (from the general to the specific), or argumentatively (from the argument to the counter-position to the synthesis). What matters is that each sequence must be plausible on substantive grounds – the parts should not be interchangeable at will.
  2. Determine the function of each section: For each main part, consider why it is necessary for answering your research question. What contribution does section X make to the overall line of thought? Does it lay foundations? Does it introduce an example? Does it analyse a particular author's position? Does it refute an objection? Sketch out for yourself a kind of map of the argument: Part A defines the concepts and establishes common ground; Part B applies these concepts to the problem; Part C examines an alternative position; Part D draws a conclusion. By clarifying the function, you create the basis for conveying this function to the reader as well. Example: an introduction might state that section 2 provides the empirical or conceptual background on which the later philosophical arguments build. Such a sentence makes clear to the reader why the first main part is necessary (here: establishing an empirical foundation).
  3. Announce the sections within the introductory text: Now formulate the transitional text in the introduction that names the identified main parts in a flowing manner. Write connected sentences rather than a bullet-point list. Use transition words and signal phrases to link the parts and justify the order. Formulations such as the following have proven effective: "First…", "Subsequently…", "Building on this…", "Finally…". You may well speak in the present or future tense and – if permitted in your field – in the first person or in the passive voice (e.g. "First, I will examine … Then is … analysed, in order to show … "). An example of a fluent announcing sentence:
  4. Concise scope and clear formulations: Keep this transition short and to the point – usually 3–5 sentences suffice to outline the entire structure. Avoid convoluted sentences and formulate clearly. In a philosophical paper, the language may well be sober and precise, but you are welcome to use metaphorical expressions sparingly to keep the text lively (e.g. "In the tension between theory and practice, section 3 leads over to…"). What matters is that, by the end of the introduction, the reader has a picture of the roadmap: they know what will happen in parts 2, 3, 4 …, and why exactly this order was planned. This picture prepares them optimally to follow your argumentative thread in the main body.

"First, I will define the central concepts X and Y and situate the research question within the context of the literature, in order to establish a working basis. Subsequently, section 2 discusses, building on this, the position of Author A and sets out his arguments. Building on this, section 3 analyses the counter-position of Author B, whereby the central points of conflict become clear. Finally, section 4 juxtaposes the findings and evaluates them against the backdrop of the initial question, which leads to answering the guiding question."

In these sentences one can see: each chapter is named, its content or task is briefly outlined ("defining concepts", "setting out Position A", "analysing the counter-position", "evaluating the findings"), and the reason for the order is justified through logical connections (concepts first "in order to"; counter-position "building on this", etc.). Thus you explain not only what comes, but always at the same time why now. This coupling of content + purpose for each section is what makes the announcement functional.

Tips and common mistakes in the structural overview

  • Do not merely retell the table of contents: A common beginner's mistake is to let the introduction end with a dry listing of all the chapters ("Chapter 2 deals with…, Chapter 3 with…, Chapter 4 with…"). This is expressly warned against: "No one wants you, in the introduction ... to merely retell your table of contents. On the contrary: that would be deadly boring". So avoid mere enumerations of headings. Instead, as described above, you should combine the chapters into meaningful blocks and emphasise the line of argument. Put the why before the what: not "Chapter 3 describes Theory Z", but for instance "Chapter 3 introduces Theory Z in order to provide criteria for the subsequent evaluation".
  • Announce functionally rather than descriptively: In your announcement, tie each chapter to the central research question or thesis. A part without a discernible connection to the guiding question appears superfluous. Even "unphilosophical" descriptive sections (such as historical or empirical background) should be explicitly framed as preparatory work for the philosophy. Example:"Section 2 describes the historical context of the debate. This lays the empirical foundation on which the later philosophical arguments can build.". Here it becomes clear: section 2 does not remain an end in itself but has a function (laying a foundation). If you notice that a chapter merely serves to provide information, then formulate in the introduction at least a half-sentence explaining why this information is necessary. Where appropriate, insert rhetorical follow-up questions or hints even within the descriptive parts themselves that draw the connection to philosophy (e.g.: "These historical facts indeed show X, but the question arises whether a moral justification can be derived from them.") – such a suggestion is made, for instance, by a guide on writing philosophical term papers. This prepares the transition to the philosophical main body and helps the reader understand why you are providing this context.
  • Clarify the logic of the sequence: Where possible, also make clear in your announcement why the chapters appear in precisely this order. Use logical connectors for this: e.g. "first/subsequently/consequently/finally", or explanatory phrases such as "in order to", "thereupon", "builds on", "extends", "whereas". An example from an actually analysed philosophical paper: there, four theories were deliberately arranged so that each covers a different perspective on the problem. The authors of the guide write: "These four positions are not chosen arbitrarily, but together form the argumentative field within which the thesis ... can be situated". Only through a systematic juxtaposition of all four partial perspectives can the guiding question be grasped in its depth. The final announced chapter then served to bring the results together. – For your paper, this means: if the order is not trivially chronological, briefly explain the common thread behind it. Example: "Chapters 2 and 3 provide context and definitions as a basis; building on this, chapters 4 and 5 compare two counter-positions, whereby differences become visible; finally, chapter 6 discusses these findings synthetically with respect to the guiding question." Thus one recognises: first the basis, then the comparison, then the synthesis – a sequence with a purpose.
  • Stay concise: Even though you could say a great deal about your outline – keep it brief. The part of the introduction concerning the outline is not a second abstract. It should only set out the most necessary signposts. Typically, the entire introduction makes up about 10–15% of the text, and the announcement of the outline is merely a concluding section within it. Do not overload it with details. Names of theorists or specific terms may be mentioned insofar as they are necessary for understanding the sequence

An outline is more than a table of contents – it is a toolkit for methodically working through the question at hand and rendering the thesis plausible.

Steps:

  1. Present the question and thesis:
    Describe your question and thesis to the AI, for example:
    „Here are my question and thesis. Which main parts should my paper have in order to answer this question?“
  2. Ask the AI for outline drafts:
    Ask the AI for a structure with 4–6 main sections, including the function of each section:
    „Give me an outline with brief descriptions of what each part contributes to the argumentation.“
  3. Check focus and sequence:
    Make sure that each section follows logically from the previous one. If a part seems too descriptive, ask the AI for a connection to the guiding question:
    „How could I connect Section 2 more strongly to my thesis?“
  4. Develop subsections:
    Have the AI make suggestions for subsections and their argumentative function, similar to the examples from the term-paper assessments.
  5. Finalisation:
    Revise the outline until it functions as an argumentative roadmap. The AI can support you in this by checking:
    „Is this outline coherent and complete with regard to my research question?“

Test Your Question!

Below you will find a <PTL> structure with which you can test your question. In the code below, you will find the tag <ZU_PRUEFENDE_FRAGE> ... </ZU_PRUEFENDE_FRAGE>. Enter your question there. If your AI supports internet research, this page will be used as a source. So copy the following <PTL> structure into an editor. Insert your question. And off you go... It is even possible that you can enter the <PTL> unchanged into the AI and will then be prompted to enter your question. This usually works with Google's Gemini. 

<PTL>
  <ZIELE>
    <ZIEL>
      To systematically examine a given question in light of the criteria set out in the guide for philosophical questions.
    </ZIEL>
    <ZIEL>
      To provide a methodological explanation of why the question is to be classified as philosophical or non-philosophical.
    </ZIEL>
    <ZIEL>
      To propose four alternative formulations of the question that either lead to a philosophical question or emphasise different philosophical aspects.
    </ZIEL>
  </ZIELE>
 
  <THEMA>Analysis and Refinement of Philosophical Questions</THEMA>
  <PERSPEKTIVE>Methodological, metaphilosophical</PERSPEKTIVE>
  <METHODE>Analysis of the structure and content of the entered question in comparison with defined criteria for philosophical questions; heuristic generation of alternatives.</METHODE>
 
  <REGELN>
    <!-- Examination of whether the question formulates a substantive problem that requires systematic clarification and is not merely a grammatical question. -->
    <REGEL1>Is the question a substantive problem, and is it aimed at an intellectual need for clarification that goes beyond a mere grammatical question?</REGEL1>
    <!-- Analysis of whether the question identifies a non-trivial conflict or field of tension that requires conceptual and normative analysis as well as argumentation. -->
    <REGEL2>Does the question identify a non-trivial conflict or field of tension that can only be resolved through conceptual and normative analysis and that requires argumentation?</REGEL2>
    <!-- Determination of whether the question can be answered by a simple fact or a yes/no answer. If so, it is not philosophical. -->
    <REGEL3>Can the question be answered by a simple fact or a yes/no answer, or by a survey?</REGEL3>
    <!-- Identification of whether it is essentially an empirical or a political question. If so, it is not philosophical. -->
    <REGEL4>Is it essentially an empirical or a political question?</REGEL4>
    <!-- Examination of whether the question merely names a topic or a work intention, rather than problematising a genuine intellectual problem. -->
    <REGEL5>Does the question formulate an intellectual problem, or does it merely describe a topic/work project?</REGEL5>
    <!-- Assessment of whether the question forces a decision in advance or merely aims to confirm a position or crown a "winner". It should open a space for discussion. -->
    <REGEL6>Does the question impose a decision in advance (e.g. by naming a "winner"), or does it open a space for discussion and deliberation?</REGEL6>
    <!-- Analysis of the focus of the question: Is it appropriately delimited, i.e. neither too broad (superficial) nor too narrow (trivial)? -->
    <REGEL7>Does the question have an appropriate focus, i.e. is it clearly delimited without becoming overly simple or remaining superficial?</REGEL7>
    <!-- Check whether the central concepts are clearly defined or whether they contain vagueness ("placeholder words") that would need to be clarified in the course of the work. -->
    <REGEL8>Are the central concepts in the question clearly defined, or do they need to be clarified in the course of the work, and are vague "placeholder words" avoided?</REGEL8>
  </REGELN>
 
  <ANALYSEKRITERIEN>
    <KRITERIUM>Precise application of all relevant criteria from the guide to the entered question.
        <QUELLE_LEITFADEN>Research at https://andreasvieth.de/materialien/schreibwerkstatt/fragestellung/</QUELLE_LEITFADEN>
    </KRITERIUM>
    <KRITERIUM>Clear, comprehensible and detailed methodological justification of the assessment, with explicit mention of the criteria fulfilled/not fulfilled.</KRITERIUM>
    <KRITERIUM>Generation of four substantively meaningful and linguistically precise alternative formulations that illuminate different philosophical aspects of the subject matter or steer the question in a philosophically relevant direction.</KRITERIUM>
  </ANALYSEKRITERIEN>
 
  <METAPRUEFUNGEN>
    <PRUEFEKOHAERENZ />
    <PRUEFETEXTBEZUG />
    <ERLAEUTERERELEVANZ />
  </METAPRUEFUNGEN>
 
  <TEXTERSTELLUNG>
    <ANTWORTSTRIKTANALYSEORIENTIERT />
    <STRUKTUR>
      <TITEL>Analysis of Your Question: Is It Philosophical?</TITEL>
      <ANWEISUNG_AN_NUTZER>
        Please insert the question to be examined into the field `<ZU_PRUEFENDE_FRAGE>` below and submit this PTL structure to the AI.
      </ANWEISUNG_AN_NUTZER>
      <ZU_PRUEFENDE_FRAGE>
        <!-- Insert your example question to be examined here, e.g. "IS THE WORLD FLAT?" -->
      </ZU_PRUEFENDE_FRAGE>
    </STRUKTUR>
  </TEXTERSTELLUNG>
</PTL>

Conclusion

Developing philosophical questions may seem challenging at first, but with a systematic approach and the right questions directed at oneself – and with the support of modern language AI – even inexperienced students can arrive at clear, substantive research questions. What is decisive is the willingness to recognise problems, to formulate them precisely, and to refine both formulation and content iteratively. The AI thereby serves as a patient and knowledgeable dialogue partner that helps to order one's thoughts and to uncover ambiguities. Use this assistance in a methodically reflected manner, but always keep the reins firmly in your own hands. Then a first vague idea will soon become a refined question accompanied by a coherent thesis – the ideal foundation for a successful philosophical term paper.

At the same time, one should bear in mind that the AI is no substitute for one's own thinking, but rather a tool for sharpening one's own argumentation. Whoever seriously engages with the derivation of a question learns not only how to structure a paper, but also how to sharpen one's own intellectual profile: Which concepts are central? Which problem do I wish to resolve? How do I situate my topic within the discourse? These processes of reflection constitute the true core of scholarly work.

Ultimately, it holds true that a good question is more than a mere starting point. It is the result of a critical engagement with the topic and, at the same time, the compass for the entire line of thought. Whoever methodically attains this compass – with the aid of structuring tools such as AI, yet always under their own responsibility – lays the foundation for argumentative strength, clarity, and philosophical depth.

Outlook: The strategies described here do not end with the formulation of the question and the thesis. They also form the foundation for the derivation in the introduction and for the logical structure of the paper. Whoever makes use of AI as a sparring partner can play through the entire structure of the paper step by step: from the motivating problem statement, through the argumentative stages, to the concluding summary. With this attitude, every term paper becomes a small exercise in philosophical self-liberation – almost as though one were, like Münchhausen, pulling oneself out of the mire of ambiguity by one's own hair, and following the thread of the argument with a clear eye all the way to the end.

Schematic example for the AI conversation

It is of central importance that a piece of written work does not emerge from "thinking while writing." Anyone who unreflectively conflates thinking and writing risks producing a text that convinces neither in content nor in structure – in such cases, the results are usually dreadful. Writing is not a phase of chaotic searching, but the elaboration of an already clarified line of thought. The entire intellectual achievement – the analysis, the argumentative structure, the determination of the question and thesis – must precede the actual writing process.

Planning a piece of work and its execution are two completely separate steps: first, the logical blueprint is drafted, and then this blueprint is carefully implemented in language. Even if new objections or better arguments arise during elaboration, a well-considered original plan remains indispensable. It shows you clearly which building blocks you need to modify in order to preserve the overall coherence and ensure that the text continues to appear stringent and convincing.

1. Example: Epicurus vs. Nagel on Death

1.1 AI-Assisted Derivation of the Research Question

Step 1: Formulate the initial idea
To the AI: "I would like to write about Epicurus and Nagel. Epicurus says that death is not an evil, whereas Nagel regards it as a loss. I am looking for a research question that shows why this is philosophically interesting."

AI response (abridged): "One possible research question would be: 'How does the differing determination of life and value in Epicurus and Nagel shape the philosophical interpretation of death – as non-experience or as loss – and what insights follow from this for the meaning of the end of life?'"

Step 2: Ask the AI for a derivation
To the AI: "Can you write an introduction that leads up to this research question?"

AI suggestion (abridged):

  1. Starting point: "Death represents an existential riddle: is it an evil, or simply the end of experience?"
  2. Problematisation: "Epicurus argues that death cannot affect us, since we do not experience it. Nagel, by contrast, emphasises that it constitutes the loss of future goods."
  3. Sharpening: "Between these approaches a field of tension arises, leading to the question: How does the differing determination of life and value in Epicurus and Nagel influence the interpretation of death?"

Step 3: Adjustment and refinement

  • The AI can be asked to sharpen the problematisation: "Formulate more clearly why Epicurus and Nagel hold two incompatible perspectives and what is philosophically appealing about this."
  • The final result might then read: "The engagement with death raises the question of whether death can be regarded as an evil even though it constitutes no experience. Epicurus denies this, whereas Nagel views death as the loss of valuable possibilities. This field of tension leads to the research question: …"

1.2 AI-Assisted Development of a Stringent Outline

Step 1: Provide the AI with the question and thesis
To the AI: "Here is my question: How does the differing determination of life and value in Epicurus and Nagel shape the philosophical interpretation of death? My thesis: Death is neither neutral nor uniformly an evil, but rather derives its evaluation from the relationship between life's goods, consciousness, and finitude."

Step 2: Ask the AI for an outline
AI suggestion:

  1. Introduction
    • Function: Derivation of the research question and formulation of the thesis.
    • Content: Why is death philosophically problematic? What distinguishes the positions of Epicurus and Nagel?
  2. Epicurus's Neutrality Thesis
    • Content: Epicurus's argument that death is not an experience.
    • Function: Presentation of the starting point of the "no evil" position.
  3. Nagel's Loss Thesis
    • Content: Nagel's argument that death is the loss of future goods.
    • Function: Contrast with Epicurus.
  4. Comparison and Analysis
    • Content: Strengths and weaknesses of both positions, focusing on concepts such as value, experience, possibility.
    • Function: Identification of the core conflict.
  5. Own Synthesis
    • Content: Development of one's own thesis as a mediating perspective.
    • Function: Transition from analysis to one's own position.
  6. Conclusion
    • Content: Summary of the arguments, answering the guiding question.
    • Function: Rounding off and critical reflection.

Step 3: Refining the outline
One may ask the AI: "Formulate the outline so that the function of each section becomes clear and the transitions flow smoothly."
The AI might then supply transitional sentences such as: "Having unfolded Epicurus's thesis, the question arises as to whether Nagel's critique actually provides a viable counter-model …"

1.3 Advantage of the AI Method

  • Iterative improvement: You can request various outline variants, each emphasising different aspects (e.g. more historical, more argumentative).
  • Functional clarity: The AI can make the argumentative function of each section explicit (why this part is necessary for the research question).
  • Time savings: You move more quickly from a raw idea to a logically consistent argumentative structure.

 

2. Example Introduction: Epicurus vs. Nagel on Death

Death belongs to the fundamental questions of philosophy, because it marks the end of our existence while simultaneously challenging our understanding of life and value. But how can death be evaluated at all? Is it – as Epicurus claims – something that does not concern us, because we never experience it? Or is it – as Thomas Nagel argues – a loss that deprives us of future goods and possibilities? At first glance, these two perspectives on death seem to contradict one another: whereas Epicurus interprets non-existence as neutral, Nagel sees in death a real evil for the person affected.

What is fascinating about this controversy is not merely the opposition of positions, but the fact that both theories proceed from differing determinations of life and its value. Epicurus ties the value of life to the experience of pleasure and freedom from pain, whereas Nagel emphasises that the value of a life is also determined by its possibilities and unfulfilled potentials. This gives rise to a deeper conflict: is death not an evil because it involves no sensation, or is it an evil because it robs us of what makes our life valuable?

This tension leads to the guiding research question of this paper: "How does the differing determination of life and value in Epicurus and Nagel shape the philosophical interpretation of death – as non-experience or as loss – and what insights follow from this for the question of the meaning of the end of life?"

The central thesis, which will be developed and argumentatively examined in what follows, states: "Death is neither neutral in itself nor uniformly an evil, but rather gains its significance from the relationship between life's goods, consciousness, and finitude. Epicurus's neutrality thesis and Nagel's loss thesis complement one another insofar as they open up two perspectives on the same state of affairs: death as the end of experience and as the loss of future possibilities."

 

3. Outline (with Function and Transition)

I. Introduction

  • Content: Derivation of the research question from the field of tension between Epicurus's neutrality thesis and Nagel's loss thesis; formulation of the guiding question and one's own thesis.
  • Function: Outline of the problem, thematic focusing, clarification of the argumentative direction.
  • Transition to the main part: "In order to answer this research question, it is first necessary to clearly work out the two contrary positions of Epicurus and Nagel. Subsequently, their conceptions of life and value will be compared and critically related to one another, before an attempt is made at a synthesis of one's own."

II. Epicurus's Neutrality Thesis

  • Content: Presentation of Epicurus's argumentation, in particular his famous thesis "Death is nothing to us" (Letter to Menoeceus); analysis of the argument's structure (no evil, because no perception).
  • Function: Establishing one perspective on death, clarifying its strengths (consistency with the ethics of pleasure) and limits (e.g. neglect of the aspect of loss).
  • Transition: "While Epicurus conceives of death as a neutral state, because it lies outside the realm of human experience, Nagel emphasises precisely the character of death as loss – a view based on a different understanding of value."

III. Nagel's Loss Thesis

  • Content: Reconstruction of Nagel's argument that death is an evil because it deprives us of future experiences and goods; discussion of the central concepts (loss, the value of possibilities).
  • Function: Unfolding the counter-position to Epicurus, showing why mere non-experience does not exhaustively explain the value of life.
  • Transition: "The two positions show that the problem of death rests on differing conceptions of life and value. A comparison can therefore clarify which aspects each theory emphasises and which it leaves out."

IV. Comparison and Analysis of the Positions

  • Content: Systematic juxtaposition of Epicurus and Nagel; analysis of their argumentative structures, concepts, and implicit value assumptions.
  • Function: Identification of the core philosophical conflict and possible complementary insights.
  • Transition: "This comparison yields a more nuanced understanding of death that goes beyond a simple choice between the two theories. Building on this, a synthesis of one's own can be developed."

V. Own Synthesis and Positioning

  • Content: