The Philosophy, Psychology, and Science of Questions

The study and comprehension of the nature of Questions and the processes of inquiry.

A question gives ignorance a direction.

We spend much of our lives collecting answers. We inherit them from families, schools, religions, scientific institutions, and the cultures surrounding us. Some become reliable instruments of understanding. Others survive because we have never examined the questions they supposedly answer.

Yet every serious search for knowledge depends on an earlier achievement: recognizing something worth asking.

A question can expose an assumption, organize an experiment, interrupt an injustice, or reveal a possibility that our existing vocabulary has concealed. It can also mislead. It may quietly assume that an accusation is true, restrict us to an artificial choice, or turn our attention toward an issue that contributes little to understanding.

For those concerned with truth, meaning, creativity, and the relief of suffering, the study of questions is therefore both intellectual and practical.

The quality of an inquiry depends partly on the quality of the question that directs it—and partly on our willingness to revise that question.

This essay brings together philosophy, logic, linguistics, psychology, neuroscience, and scientific methodology. There is no universally agreed list of every major thinker in this enormous territory. What follows is a broad map of central contributors, distinguishing their philosophical proposals, experimental findings, and the practical conclusions we can draw from them.

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1 · A question has several layers.

We should first distinguish the sentence we utter, the issue it expresses, and the social act we perform by uttering it.

These can come apart. “Can you open the window?” has the grammatical form of a question, but often functions as a request. A teacher may ask a question whose answer she already knows. Someone may ask rhetorically to express disbelief rather than obtain information. [1]

A theory of questions must therefore explain more than punctuation. It must account for what would resolve an issue, what the speaker is doing, and what the listener understands the speaker to be doing.

For practical purposes, we can examine a question through five features:

• Its subject: What is being investigated?
• Its assumptions: What does the question take for granted?
• Its alternatives: What answers are being treated as possible?
• Its standard of resolution: What evidence or reasoning would count as settling it?
• Its purpose: Why does settling it matter?

This is a working framework for the present essay, rather than a definition accepted by every theorist.

Consider the question:

“Why did the project fail?”

It presupposes a failure. It invites explanations of that failure. But a careful investigator might first ask whether the project failed by the relevant standard, whether its goals were realistic, or whether different people are measuring different outcomes.

Sometimes inquiry advances by repairing the question.

Different kinds of questions also demand different forms of answer:

Kind of question	Example	What an adequate answer needs
Descriptive	What happened?	A sufficiently accurate account of events
Conceptual	What do we mean by freedom?	Clear distinctions and a defensible interpretation
Explanatory	Why did this happen?	Relevant causes, reasons, or mechanisms
Predictive	What is likely to happen next?	A model and an honest account of uncertainty
Counterfactual	What would have happened under different conditions?	Explicit assumptions about alternatives
Normative	What ought we to do?	Reasons concerning values, obligations, and consequences
Practical	How can we accomplish this?	A workable procedure under actual constraints
Reflective	What are we overlooking?	Examination of the inquiry itself

These categories overlap. Their purpose is to prevent us from answering a moral question with a statistic, a causal question with a mere correlation, or a conceptual question with an unexplained slogan.

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2 · Ancient philosophy recognized that inquiry begins inside partial understanding.

In Plato’s dialogues, Socrates repeatedly asks people to explain familiar ideas such as virtue, courage, and justice. His questioning often uncovers a gap between using a word confidently and being able to defend an account of its meaning.

We encounter Socrates through sources such as Plato, rather than through writings by Socrates himself. In Plato’s Meno, the investigation reaches a famous difficulty:

If we already know what we seek, why investigate? If we do not know it, how will we recognize it when we find it? [2]

Plato explores this puzzle through recollection. We need not accept that solution to appreciate the challenge. Inquiry requires enough prior understanding to identify a problem, while allowing that understanding to be incomplete.

Recognizing a gap is already an intellectual accomplishment.

Aristotle gives inquiry a more explicit structure. In Posterior Analytics, Book II, he distinguishes questions concerning whether something is the case, why it is the case, whether something exists, and what it is.

These are related but different achievements of knowledge. Establishing that an eclipse occurs is different from explaining its cause. [3]

Indian traditions provide another important line of thought. The Nyāya tradition, associated with Akṣapāda Gautama and developed by commentators including Vātsyāyana, treats doubt, purposes, means of knowledge, reasoning, and debate as subjects of systematic analysis.

In the commentarial discussion, doubt involves unresolved alternatives and has an important role in initiating investigation. Nyāya constitutes a distinctive intellectual tradition with its own methods and debates. [4]

Early Buddhist texts also examine the proper handling of questions. The Pañha Sutta, attributed to the Buddha, distinguishes four responses:

1. A direct answer.
2. An analytical answer.
3. A counter-question.
4. Setting a question aside. [5]

That classification resists the assumption that every question deserves an immediate yes or no. Some need clarification. Some need their terms examined. Some do not serve the purpose of the inquiry.

Across these traditions, an enduring problem appears:

How can we acknowledge uncertainty without becoming either helpless or careless?

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3 · Inquiry became a discipline of correcting our own thinking.

Francis Bacon, in Novum Organum, examined recurring sources of intellectual distortion through his famous “idols”: tendencies arising from human nature, individual disposition, language, and inherited systems.

His contribution is especially relevant when a question sounds natural simply because a culture has taught us to ask it that way. [6]

René Descartes, in Discourse on the Method, recommended dividing difficulties, proceeding through an ordered investigation, and reviewing the work carefully.

Even readers who reject his larger philosophical system can recognize the usefulness of breaking a difficult problem into manageable questions. [7]

Charles Sanders Peirce connected inquiry to the disturbance of settled belief. In “The Fixation of Belief,” he examined different ways people settle their opinions, including tenacity, authority, and scientific investigation.

His account raises a crucial distinction: we can become psychologically comfortable with an answer without having investigated it reliably. [8]

An inquiry might end because evidence has become convincing. It might also end because someone powerful has forbidden further discussion, or because uncertainty has become uncomfortable. Those endings should not be confused.

John Dewey developed inquiry as reflective activity arising from difficulty. In How We Think, reflection involves identifying a problem, considering possible solutions, reasoning through their implications, and testing them through further observation or action. [9]

The lesson applies far beyond laboratories.

“Something is wrong” expresses a disturbance.

“Which part of this process is producing the difficulty?” begins to make that disturbance investigable.

Thinker	Contribution to the practice of inquiry
Francis Bacon	Examine the habitual distortions that shape observation and interpretation.
René Descartes	Divide difficulties and organize the order of investigation.
Charles Sanders Peirce	Distinguish reliable investigation from other ways of settling belief.
John Dewey	Connect reflective thought to problems, hypotheses, and tests.

Together, these thinkers help explain why a good question is only a beginning. It needs a process capable of correcting the person who asks it.

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4 · Understanding an answer often requires recovering its question.

R. G. Collingwood argued that statements become intelligible within a relationship of question and answer. An answer lifted away from the problem that produced it can be badly misunderstood. [1, 10]

Consider the sentence:

“The door must remain open.”

It could answer a question about ventilation, emergency access, hospitality, or whether a meeting should be private. The words stay the same while their significance changes.

Hans-Georg Gadamer, especially in Truth and Method, developed the importance of questioning within interpretation and dialogue. Understanding requires openness to what a text or another person may disclose, including the possibility that our initial framing is inadequate.

His discussion explicitly engages Collingwood’s logic of question and answer. [10]

A practical consequence follows: when reading a philosopher, theologian, or political argument, ask:

“What problem made this claim necessary for its author?”

That does not exempt the claim from criticism. It makes the criticism better informed.

Contemporary philosopher Jane Friedman brings inquiry itself into the center of epistemology. Her work on zetetic epistemology examines norms concerning when to investigate, how to proceed, and when to stop.

It extends attention beyond the justification of individual beliefs to the conduct of the search that produces them. [11]

There is a difference between wondering about a question and undertaking an investigation. There is also a difference between knowing something relevant and knowing enough for the purpose at hand.

The responsible stopping point for casual curiosity may differ from the stopping point for an engineering decision.

Inquiry has an ethics of attention: our time is limited, and pursuing one question often means postponing another.

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5 · Erotetic logic makes questions part of formal reasoning.

One of the most distinctive developments in modern logic is the systematic study of questions and answers, often called erotetic logic.

Several approaches investigate what constitutes an answer, what a question presupposes, and how one question relates to another. [12–16]

Charles L. Hamblin developed an influential treatment of question meanings through possible answers.

Lauri Karttunen developed a different formal account of interrogatives, including embedded questions.

Nuel Belnap and Thomas B. Steel Jr. made questions, answers, and their presuppositions the subject of a major logical study.

Jeroen Groenendijk and Martin Stokhof developed partition semantics, representing a question through distinctions among possible situations. [12–15]

These approaches are related, but they are not interchangeable. Some emphasize possible answers, others true or exhaustive answers, and others the information required to resolve an issue.

Jaakko Hintikka examined inquiry through an interrogative model: an investigator combines reasoning with questions addressed to sources of information. The strategy of choosing questions becomes part of understanding discovery. [16]

Andrzej Wiśniewski, with further developments involving researchers such as Dorota Leszczyńska-Jasion, formalized important relationships in inferential erotetic logic.

Two are especially illuminating. [17–18]

Question evocation occurs when background information guarantees that a question has a true direct answer while failing to establish any particular direct answer.

Suppose we know that a key is in exactly one of four boxes—A, B, C, or D—but do not know which.

That information evokes the question:

“Which box contains the key?”

Erotetic implication captures how a question, together with background information, supports a subsidiary question whose answers help resolve the original issue.

“Is the key in A or B?” is useful because either answer narrows the original possibilities. [17–18]

Answer to “Is the key in A or B?”	What remains possible	A useful next question
Yes	A or B	Is it in A?
No	C or D	Is it in C?

This is a simplified example with an explicitly complete set of alternatives. Real inquiry often requires discovering alternatives that were absent from the original list.

Craige Roberts adds another important insight through her work on questions under discussion. Conversations are organized around issues that participants are trying to settle.

A statement’s relevance depends partly on how it addresses the current issue. [19]

Meanwhile, Ivano Ciardelli, Jeroen Groenendijk, and Floris Roelofsen have developed inquisitive semantics, a framework that represents both information supplied and issues raised.

Language can change what we know while also changing what remains to be resolved. [20]

The larger achievement is substantial: questions can be examined as structured objects with logical relationships.

But logical structure alone does not tell us which question deserves our limited time.

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6 · Psychology asks what makes us want an answer.

A question may be carefully formed and still leave us unmoved. Another may hold our attention for years.

The psychology of curiosity investigates this motivational difference.

Daniel E. Berlyne helped establish curiosity as an experimental subject. He distinguished curiosity directed toward perceptual stimulation from curiosity directed toward knowledge and understanding, and examined the role of novelty, uncertainty, and conflict. [21]

George Loewenstein’s information-gap account proposes that curiosity can arise when we perceive a gap between what we know and what we want to know.

Some prior knowledge can make the missing piece more noticeable. Complete unfamiliarity does not always provide enough structure for a compelling question. [22]

A book titled Physics may feel remote.

A question such as “Why does time pass at different rates for different observers?” gives the reader a specific unresolved issue to pursue.

Jordan Litman distinguishes interest-type and deprivation-type epistemic curiosity:

• Interest-type curiosity emphasizes the pleasure of discovering.
• Deprivation-type curiosity emphasizes the urge to resolve a bothersome gap.

These describe different motivational patterns, not a simple division between healthy and unhealthy people. [23]

John Flavell’s work on metacognition adds a further requirement: we must monitor our own understanding.

Asking well depends partly on recognizing what we do not yet grasp and selecting a strategy for addressing it. [24]

This suggests a practical distinction between feeling familiar with a topic and being able to explain it.

A useful self-question is:

Could I describe the mechanism, give an example, and say where my explanation stops?

Curiosity supplies energy. Metacognition helps direct it. Neither guarantees that the eventual answer is true.

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7 · Children’s questions are instruments of learning.

Developmental psychology gives us strong reasons to take children’s repeated “why?” seriously.

Jean Piaget made children’s explanations and forms of reasoning central subjects of investigation. Lev Vygotsky emphasized the social mediation of learning.

Later experimental work has revised many earlier claims about children’s limitations while building a more detailed account of learning through exploration and interaction. [25–27]

M. M. Chouinard examined children’s questions as a mechanism for cognitive development: they can obtain information targeted to gaps, ambiguities, and inconsistencies in their understanding. [25]

In research by Brandy Frazier, Susan Gelman, and Henry Wellman, preschoolers responded differently to explanatory and nonexplanatory answers.

They more often accepted explanations and asked follow-up questions, while nonexplanations more often led them to repeat the original question or offer explanations themselves.

This supports the interpretation that many such questions seek understanding, beyond simply prolonging interaction. [26]

Research associated with Alison Gopnik and Laura Schulz has also helped establish children as active learners who investigate causal relationships.

Their abilities depend on the task, their background knowledge, and the information available to them. “Children are scientists” is a useful comparison, while the differences between childhood learning and professional scientific practice remain substantial. [26–27]

Azzurra Ruggeri and Tania Lombrozo studied how children adapt their questions to a search problem.

Their work distinguishes testing a specific hypothesis from asking a question that rules out a group of possibilities. Even younger children in their studies changed strategies when the task made a different approach more useful. [28]

For example:

“Is the animal a tiger?” tests one candidate.

“Does it live in water?” can divide a larger group of candidates.

Teaching also influences what learners explore.

In experiments by Elizabeth Bonawitz, Patrick Shafto, Hyowon Gweon, Noah Goodman, Elizabeth Spelke, and Laura Schulz, pedagogical demonstrations of a toy could focus children’s learning while limiting spontaneous discovery of its other functions.

This finding concerns particular experimental conditions; it does not establish that instruction is generally harmful. [27]

An educational implication is to combine useful instruction with invitations to investigate:

“Here is one thing this does. What else could we test?”

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8 · Curiosity has measurable relationships with learning and the brain.

Neuroscience has begun to investigate how wanting an answer relates to attention, reward, and memory.

In a study by Matthias Gruber, Bernard Gelman, and Charan Ranganath, participants rated their curiosity about trivia questions and later completed memory tests.

Higher-curiosity states were associated with better memory for sought information and, under the study’s conditions, incidental material presented during anticipation.

Functional MRI also identified relationships involving midbrain, striatal, and hippocampal activity. [29]

The result is suggestive, but its interpretation requires care. Brain-imaging signals do not directly measure dopamine release.

A laboratory trivia task does not establish that any question improves all kinds of learning, nor that increasing uncertainty indefinitely is beneficial.

Celeste Kidd and Benjamin Hayden, in their review of curiosity research, emphasize the need to connect psychological and neuroscientific accounts while recognizing that curiosity remains difficult to define as a single, unified phenomenon. [30]

For a learner, the reasonable application is modest:

Begin some study sessions with a specific question you want to resolve, and return to it afterward.

Treat this as a practical strategy informed by research, rather than a promise about how every brain will respond.

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9 · Science turns questions into tests that distinguish possibilities.

A scientifically productive question connects uncertainty to observations or interventions that could make a difference to our conclusions.

Karl Popper emphasized criticism, risky predictions, and the possibility of falsification.

Asking what would count against an explanation helps expose whether it is being protected from every possible outcome.

This remains influential, although actual scientific testing also depends on auxiliary assumptions, measurement quality, and the interpretation of evidence. [31]

Thomas Kuhn examined how scientific communities work within paradigms that shape legitimate problems and acceptable solutions.

His account of normal science as puzzle-solving helps explain why changing a framework can change the questions researchers consider meaningful.

It should not be reduced to the claim that scientific conclusions are arbitrary. [32]

George Pólya, writing about mathematical problem-solving, organized inquiry around understanding a problem, devising a plan, carrying it out, and reviewing the result.

His guiding questions encourage us to identify unknowns, examine constraints, use related problems, and check the solution. [33]

An experimental question and a mathematical question may therefore require very different procedures. One may be answered by measurement; another by proof.

Both benefit from clarity about what would count as success.

Claude Shannon’s information theory gives us a mathematical treatment of uncertainty.

Dennis Lindley applied information-theoretic ideas to the information provided by experiments.

In suitable models, a question or experiment can be assessed by the uncertainty it is expected to remove. [34–35]

Imagine eight equally likely locations for a hidden object.

A reliable yes-or-no question that separates them into two groups of four is more informative on average than one that separates a single location from the other seven.

This comparison assumes equally likely alternatives, accurate answers, and comparable costs. Change those assumptions and the best question may change.

Information gain is also different from practical value.

Learning a random digit may reduce uncertainty without improving an important decision. Sometimes a less informative question has greater value because its answer changes what we should do.

Judea Pearl’s work on causal inference makes another distinction essential:

Inquiry	Example	What must be considered
Observation	Are X and Y associated?	The pattern present in the data
Intervention	What would happen if we changed X?	Causal structure and intervention assumptions
Counterfactual	Would Y have occurred had X been different?	A model relating actual and alternative circumstances

These are different questions.

An association alone does not automatically answer an intervention or counterfactual question. Causal conclusions require additional assumptions, experimental design, or other justified information. [36]

The scientific art of questioning includes selecting a method whose evidence actually addresses the question being asked.

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10 · We can ask questions that protect our errors.

A question does not become intellectually responsible merely because it ends with a question mark.

Peter Wason’s classic hypothesis-testing experiments showed how people could repeatedly examine cases compatible with a favored rule while failing to discover the actual rule.

The familiar number-sequence task illustrates how apparent confirmation can leave important alternatives untouched. [37]

Joshua Klayman and Young-Won Ha later clarified that a positive test strategy is not automatically irrational.

Its usefulness depends on the relationship among hypotheses, possible evidence, and the environment.

The better lesson is to seek tests that discriminate between plausible alternatives, rather than mechanically prefer negative evidence. [38]

Consider several ways questions can misdirect us:

Problem	Example	A more useful inquiry
Unsupported presupposition	Why is this proposal a disaster?	What evidence bears on its likely consequences?
False alternative	Must we accept everything or reject everything?	Which claims deserve different judgments?
Vague target	Why is everything broken?	Which process is failing, where, and by what standard?
Confirmation seeking	Who agrees with my explanation?	What evidence distinguishes it from competing explanations?
Empty complexity	What is the ultimate meaning of every aspect of this event?	Which part can we clarify with the evidence available?
Endless continuation	What else could possibly go wrong?	What remaining uncertainty would change the decision?

These revisions are examples developed for this essay. Their purpose is to make an inquiry clearer, more discriminating, and more useful.

A particularly revealing question is:

What answer would I find difficult to accept, even if the evidence supported it?

The answer can identify where personal commitment may interfere with investigation.

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11 · Questions exist within relationships of power.

People do not ask questions in a social vacuum. The ability to admit uncertainty or challenge a claim depends partly on what happens to the person who speaks.

Amy Edmondson’s research on psychological safety found an association between team psychological safety and learning behavior in a study of work teams.

It supports attention to whether people can take interpersonal risks involved in seeking help, discussing mistakes, and raising concerns.

An association in such a study is not a universal causal guarantee. [39]

Miranda Fricker’s account of epistemic injustice identifies harms involving unfair credibility judgments and unequal access to shared resources for interpreting experience.

Her framework helps us examine whose testimony is discounted and whose experiences remain difficult to articulate publicly. [40]

An implication for inquiry is that a community can lose knowledge by making some people’s questions difficult to formulate or dangerous to voice.

Paulo Freire developed a model of problem-posing education in which learners participate in understanding their circumstances.

His educational philosophy connects dialogue and inquiry with human agency. [41]

For those concerned with liberation and restoration, these ideas raise concrete questions:

• Who is permitted to define the problem?
• Who gets listened to?
• What experiences have not entered the discussion?
• What changes when the people affected help formulate the inquiry?

A culture of inquiry requires both intellectual standards and conditions in which people can participate.

An invitation to ask questions means little when honest questions are punished.

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12 · Better questions can be cultivated through practice.

The following procedure is a synthesis of the traditions and research discussed here, rather than a single experimentally validated system.

1. Name the uncertainty. Replace a vague sense of confusion with a question specific enough to investigate.

2. Identify the kind of answer needed. Are you seeking a fact, an explanation, a definition, a prediction, a judgment, or a procedure?

3. Expose the assumptions. Ask what must be true for the question to make sense.

4. Identify credible alternatives. Include possibilities beyond your preferred explanation and remain open to an incomplete list.

5. Find the important distinction. Ask what separates the alternatives in ways evidence could reveal.

6. Choose a useful subsidiary question. Prefer a question whose possible answers would change the inquiry.

7. Match the method to the issue. Use observation, experiment, proof, historical evidence, interpretation, or dialogue as appropriate.

8. Look for discriminating evidence. Seek information that competing explanations would lead you to expect differently.

9. State what remains uncertain. A partial answer becomes more useful when its limits are visible.

10. Set a stopping or review condition. Decide what would count as enough for now and what would justify reopening the question.

Suppose a community asks:

“How can we reduce isolation?”

The question is worthwhile but too broad to guide a single investigation.

We might first ask who experiences isolation, whether they want more contact, what barriers they report, and what forms of connection they value.

Transportation, cost, accessibility, conflicting schedules, and a lack of welcoming spaces imply different interventions. Conversations with affected people can reshape the problem before anyone commits to a solution.

The original question has now produced a family of smaller questions. Their answers can support action, while subsequent observation reveals whether that action helped.

The same discipline applies to creating a fictional world, examining a theological claim, repairing an institution, or learning a difficult subject.

The methods differ. The need to understand what we are asking remains.

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13 · Inquiry can deepen wonder while strengthening intellectual humility.

Questions about God, consciousness, meaning, freedom, and the ultimate nature of reality often exceed what a single experiment can settle.

They still benefit from careful distinctions, clear arguments, historical understanding, and openness about uncertainty.

For those who understand reality through the language of Logos, a philosophical interpretation becomes possible:

A question is one way language reaches toward meaning it has not yet comprehended.

It marks the place where our present understanding meets something still unresolved.

That is a metaphysical and spiritual reflection, not an experimental result. The neuroscience of curiosity does not establish divine infinity. Formal question semantics does not prove that reality is made of words.

These disciplines can inform a wider worldview without being made to certify claims beyond their evidence.

Nor must every unanswered question conceal a profound truth. Some await better evidence. Some need different concepts. Some contain false assumptions.

Part of intellectual maturity is learning to tell these situations apart.

Yet uncertainty need not extinguish wonder.

We can hold an answer with appropriate confidence while recognizing that it may illuminate only part of a larger subject. We can investigate suffering with the intention of reducing it. We can examine inherited limits before accepting them as permanent features of existence.

A question worthy of our attention should make room for the world, another person, or the evidence to answer back.

Let our questions become precise enough to discover, honest enough to be corrected, and compassionate enough to matter.

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Sources and paths for further study

The numbered references below support the historical and scientific discussion. Philosophical interpretations and practical examples have been identified as such. Original publication dates are given where practical; linked editions may be later.

[1] Cross, C., & Roelofsen, F. Questions. Stanford Encyclopedia of Philosophy.
Read the scholarly overview.

[2] Plato. Meno, especially 80d–81a.
Read the primary text.

[3] Aristotle. Posterior Analytics, Book II, chapters 1–2.
Read the primary text.

[4] Gautama, with the Nyāya commentarial tradition. Nyāya Sūtras, 1.1.1 and discussion of doubt.
Read the translated text and commentaries.

[5] Pañha Sutta, Aṅguttara Nikāya 4.42. Translated by Ṭhānissaro Bhikkhu.
Read the primary text.

[6] Bacon, F. (1620). Novum Organum, Book I.
Read the primary text.

[7] Descartes, R. (1637). Discourse on the Method, Part II.
Read the primary text.

[8] Peirce, C. S. (1877). “The Fixation of Belief.”
Read the essay.

[9] Dewey, J. (1910). How We Think.
Read the book.

[10] Gadamer, H.-G. (1960). Truth and Method, particularly the discussion of the hermeneutic priority of the question. See also Collingwood, R. G. (1939), An Autobiography, chapter V.
View the Gadamer publisher edition.

[11] Friedman, J. (2020 manuscript). “Zetetic Epistemology.”
Read the author’s manuscript.

[12] Hamblin, C. L. (1973). “Questions in Montague English.” Foundations of Language, 10, 41–53.
View a later collected edition.

[13] Karttunen, L. (1977). “Syntax and Semantics of Questions.” Linguistics and Philosophy, 1, 3–44.
Read the paper.

[14] Belnap, N. D., & Steel, T. B. (1976). The Logic of Questions and Answers. Yale University Press.
View the book record.

[15] Groenendijk, J., & Stokhof, M. (1984). Studies on the Semantics of Questions and the Pragmatics of Answers.
Browse the author’s publication archive.

[16] Hintikka, J. (1999). Inquiry as Inquiry: A Logic of Scientific Discovery; and (2007), Socratic Epistemology.
View the chapter on presuppositions and inquiry.

[17] Wiśniewski, A., & Leszczyńska-Jasion, D. (2015). “Inferential Erotetic Logic Meets Inquisitive Semantics.” Synthese, 192, 1585–1608.
Read the paper.

[18] Wiśniewski, A. (2018). “Deduction and Reduction Theorems for Inferential Erotetic Logic.” Studia Logica, 106, 295–309.
Read the paper.

[19] Roberts, C. (2012; earlier versions 1996/1998). “Information Structure: Towards an Integrated Formal Theory of Pragmatics.” Semantics and Pragmatics, 5(6).
Read the paper.

[20] Ciardelli, I., Groenendijk, J., & Roelofsen, F. (2018). Inquisitive Semantics. Oxford University Press.
View the chapter comparing approaches.

[21] Berlyne, D. E. (1954). “A Theory of Human Curiosity.” British Journal of Psychology, 45, 180–191.
View the publication.

[22] Loewenstein, G. (1994). “The Psychology of Curiosity: A Review and Reinterpretation.” Psychological Bulletin, 116, 75–98.
Read the paper.

[23] Litman, J. A. (2008). “Interest and Deprivation Factors of Epistemic Curiosity.” Personality and Individual Differences, 44, 1585–1595.
View the paper.

[24] Flavell, J. H. (1979). “Metacognition and Cognitive Monitoring: A New Area of Cognitive–Developmental Inquiry.” American Psychologist, 34, 906–911.
View the publication.

[25] Chouinard, M. M. (2007). Children’s Questions: A Mechanism for Cognitive Development. Monographs of the Society for Research in Child Development, 72(1).
Read the publisher description.

[26] Frazier, B. N., Gelman, S. A., & Wellman, H. M. (2009). “Preschoolers’ Search for Explanatory Information Within Adult–Child Conversation.” Child Development, 80, 1592–1611.
Read the full paper.

[27] Bonawitz, E., Shafto, P., Gweon, H., Goodman, N. D., Spelke, E., & Schulz, L. (2011). “The Double-Edged Sword of Pedagogy: Instruction Limits Spontaneous Exploration and Discovery.” Cognition, 120, 322–330.
View the research archive.

[28] Ruggeri, A., & Lombrozo, T. (2015). “Children Adapt Their Questions to Achieve Efficient Search.” Cognition, 143, 203–216.
Read the author’s research page.

[29] Gruber, M. J., Gelman, B. D., & Ranganath, C. (2014). “States of Curiosity Modulate Hippocampus-Dependent Learning via the Dopaminergic Circuit.” Neuron, 84, 486–496.
Read the full paper.

[30] Kidd, C., & Hayden, B. Y. (2015). “The Psychology and Neuroscience of Curiosity.” Neuron, 88, 449–460.
View the publication.

[31] Popper, K. R. “Science: Conjectures and Refutations,” collected in Conjectures and Refutations.
Read the primary-text excerpt.

[32] Kuhn, T. S. (1962). The Structure of Scientific Revolutions. University of Chicago Press.
View the publisher edition.

[33] Pólya, G. (1945). How to Solve It. Princeton University Press.
Read a university-hosted summary of the guiding questions.

[34] Shannon, C. E. (1948). “A Mathematical Theory of Communication.” Bell System Technical Journal, 27, 379–423, 623–656.
Read the paper.

[35] Lindley, D. V. (1956). “On a Measure of the Information Provided by an Experiment.” Annals of Mathematical Statistics, 27, 986–1005.
View the publication.

[36] Pearl, J. (2009). “Causal Inference in Statistics: An Overview.” Statistics Surveys, 3, 96–146.
Read the paper.

[37] Wason, P. C. (1960). “On the Failure to Eliminate Hypotheses in a Conceptual Task.” Quarterly Journal of Experimental Psychology, 12, 129–140.
View the publication.

[38] Klayman, J., & Ha, Y.-W. (1987). “Confirmation, Disconfirmation, and Information in Hypothesis Testing.” Psychological Review, 94, 211–228.
View the publication.

[39] Edmondson, A. (1999). “Psychological Safety and Learning Behavior in Work Teams.” Administrative Science Quarterly, 44, 350–383.
View the research archive.

[40] Fricker, M. (2007). Epistemic Injustice: Power and the Ethics of Knowing. Oxford University Press.
Read the chapters on testimonial injustice and hermeneutical injustice.

[41] Freire, P. (1970, English edition). Pedagogy of the Oppressed, especially chapter 2.
Read the primary-text excerpt.