A commentary on a target article by Alison Gopnik (1993) How we know our minds: the illusion of first-person knowledge of intentionality. Focusing on evidence of how children acquire a theory of mind, this commentary argues that there are internal inconsistencies in theories that both argue for the functional role of conscious experiences and the irreducibility of those experiences to third-person viewable information processing.

This essay takes—as its point of departure—Cavicchi’s (2006) argument that knowledge develops through experimentation, both in science and in educational settings. In attempting to support and extend her conclusions, which are drawn in part from the replication of some early tasks in the history of developmental psychology, the late realist-constructivist theory of Jean Piaget is presented and summarized. This is then turned back on the subjects of Cavicchi’s larger enquiry (education and science) to offer a firmer foundation for future debate. (...) Several of Piaget’s “forgotten works” are discussed; their theoretical contributions synthesized to form a single interdisciplinary, cross-pollinating narrative describing how it is that both children and scientists grow into the world. (In addition, translated excerpts from two related historical documents have been provided in an appendix, while detailed footnotes add further context and integrate the discussion with current advances in related fields.). (shrink)

At least since Augustine, philosophers have constructed developmental just-so stories about the origins of certain concepts. In these just-so stories, philosophers tell us how children must develop these concepts. However, philosophers have by and large neglected the empirical data about how children actually do develop their ideas about the world. At best they have used information about children in an anecdotal and unsystematic, though often illuminating, way.

This paper argues that there are powerful similarities between cognitive development in children and scientific theory change. These similarities are best explained by postulating an underlying abstract set of rules and representations that underwrite both types of cognitive abilities. In fact, science may be successful largely because it exploits powerful and flexible cognitive devices that were designed by evolution to facilitate learning in young children. Both science and cognitive development involve abstract, coherent systems of entities and rules, theories. In both (...) cases, theories provide predictions, explanations, and interpretations. In both, theories change in characteristic ways in response to counterevidence. These ideas are illustrated by an account of children's developing understanding of the mind. (shrink)

The central mission of cognitive science is to reveal the real nature of the mind, however familiar or foreign that nature may be to naive preconceptions. The existence of naive conceptions is also important, however. Prescientific thought and language contain concepts of the mental, and these concepts deserve attention from cognitive science. Just as scientific psychology studies folk physics (McCloskey 1983, Hayes 1985), viz., the common understanding (or misunderstanding) of physical phenomena, so it must study folk psychology, the common understanding (...) of mental states. This subfield of scientific psychology is what I mean by the phrase 'the psychology of folk psychology'. (shrink)

The comment addresses central issues of a "theory theory" approach as exemplified in Gopnik' and Goldman's BBS-articles. Gopnik, on the one hand, tries to demonstrate that empirical evidence from developmental psychology supports the view of a "theory theory" in which common sense beliefs are constructed to explain ourselves and others. Focusing the informational processing routes possibly involved we would like to argue that his main thesis (e.g. idea of intentionality as a cognitive construct) lacks support at least for two reasons: (...) one methodological and one structural. On the other hand, Goldman raises an important question when he is asking how people ascribe mental states to themselves. Reasons why Goldman's attempt to understand common sense mental representations by using an analogy from visual perception is problematic are discussed. The role which is attributed to a phenomenology is evaluated. (shrink)

This dissertation contributes to the philosophy of empathy and biomedical ethics by drawing on phenomenological approaches to empathy, intersubjectivity, and affectivity in order to contest the primacy of the intersubjective aspect of empathy at the cost of its affective aspect. Both aspects need to be explained in order for empathy to be accurately understood in philosophical works, as well as practically useful for patient care in biomedical ethics. In the first chapter, I examine the current state of clinical empathy in (...) medicine including professional opinions about empathy, the dominant definition being employed, and the problems that arise from this definition. By trying to define empathy in a way that is useful to the current presuppositions in medicine, clinical empathy aligns with simulation theory, which has three problems: the discrepancy between the way empathy is defined and the way it is explained, the lack of diversity that this theory of empathy allows in our understanding of others, and the lack of affective understanding and affective engagement involved in the patient-physician interaction. These three problems are used to derive three questions that are important for any theory of empathy: (1) What is the phenomenon being explained? (2) What is the intersubjective context of empathy? (3) What is the affective dimension of empathy? The best theory of clinical empathy can be formulated by answering these three questions as they relate to phenomenological theories, which are more attuned to overcoming presuppositions. Chapters two and three each examine a different phenomenological approach to empathy from opposite extremes in their theories of intersubjectivity. Husserl and Stein begin from an isolated, transcendental subject that needs empathy to bridge the gap between itself and others, while Scheler begins from a primary intersubjectivity in which self and other are undifferentiated, making empathy a largely unnecessary skill. Despite their strongly opposed positions, and the acknowledgement that their theories of intersubjectivity necessitate their theories of empathy, I argue that both fail to understand the affective dimension of empathy. Husserl and Stein leave no room in empathy for it to be an affect, while Scheler prioritizes affects that reunite subjects, but leaves empathy itself as a non-affective skill. Chapter four explains Gallagher’s interaction theory as a more moderate approach to the relation between empathy and intersubjectivity. He draws on the insights of the other two theories, but conceives of empathy as a multi-leveled phenomenon that allows for an understanding of others. While this theory does aid in addressing the intersubjective context of empathy in a way that best solves the first two problems with clinical empathy, interaction theory still fails to fully address the affectivity of empathy, maintaining empathy as a largely cognitive ability. Gallagher does acknowledge the affective core of empathy, but he does not explain the way in which it is affective. In response to this problem, I explain Anya Daly’s application of Merleau-Ponty’s theory of reversibility to affectivity as a possible solution to the problematic gap in Gallagher’s theory. Chapter five focuses on theories of clinical empathy in order to address the neglected affective aspects of empathy, and respond to the problem of detached concern. The problems caused by detached concern are explained, as well as why the theories discussed in the middle chapters are still unable to solve them. This is done in two parts. In the first part, I explain the basis of this issue in the cognitive/feeling divide, as explained in the philosophy of emotion. Then, I give a brief overview of the phenomenology of affectivity to be used as a guide to the affectivity of empathy. In the second part, I examine three theories of clinical empathy that attempt to solve the problem of detached concern, noting their strengths and weaknesses based on their similarities to phenomenological approaches to empathy and affectivity. (shrink)

In Section 5 of his interesting article, Goldman suggests that the consideration of imaginary cases can be valuable in the analysis of our psychological concepts. In particular, he argues that we can imagine a system that is isomorphic to us under any functional description, but which lacks qualitative mental states, such as pains and color sensations. Whether or not such a being is empirically possible, it certainly seems to be logically possible, or conceptually coherent. Goldman argues from this possibility to (...) the conclusion that our concepts of qualitative mental states cannot be analyzed entirely in functional terms. (shrink)

Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important role of causal knowledge has been discovered in many areas of cognitive (...) psychology. Despite the ubiquity of causal reasoning, textbooks of cognitive psychology have neglected this growing field. The goal of The Oxford Handbook of Causal Reasoning is to fill this gap. The handbook brings together the leading researchers in the field of causal reasoning and offers state-of-the-art presentations of theories and research. It provides introductions of competing theories of causal reasoning, and discusses its role in various cognitive functions and domains. The final section presents research from neighboring fields. 1. Causal Reasoning: An Introduction Michael R. Waldmann Part I: Theories of Causal Cognition 2. Associative Accounts of Causal Cognition Mike E. Le Pelley, Oren Griffiths, and Tom Beesley 3. Rules of Causal Judgment: Mapping Statistical Information Onto Causal Beliefs José C. Perales, Andrés Catena, Antonio Cándido, and Antonio Maldonado 4. The Inferential Reasoning Theory of Causal Learning: Toward a Multi- Process Propositional Account Yannick Boddez, Jan De Houwer, and Tom Beckers 5. Causal Invariance as an Essential Constraint for Creating a Causal Representation of the World: Generalizing the Invariance of Causal Power Patricia W. Cheng and Hongjing Lu 6. The Acquisition and Use of Causal Structure Knowledge Benjamin Margolin Rottman 7. Formalizing Prior Knowledge in Causal Induction Thomas L. Griffiths 8. Causal Mechanisms Samuel G. B. Johnson and Woo-kyoung Ahn 9. Force Dynamics and Causation Phillip Wolff and Robert Thorstad 10. Mental Models and Causation P. N. Johnson- Laird and Sangeet S. Khemlani 11. Pseudocontingencies Klaus Fiedler and Florian Kutzner 12. Singular Causation David Danks 13. Cognitive Neuroscience of Causal Reasoning Joachim T. Operskalski and Aron K. Barbey Part II: Basic Cognitive Functions 14. Visual Impressions of Causality Peter White 15. Goal-Directed Actions Bernhard Hommel 16. Planning and Control Magda Osman 17. Reinforcement Learning and Causal Models Samuel J. Gershman 18. Causation and the Probability of Causal Conditionals David E. Over 19. Causal Models and Conditional Reasoning Mike Oaksford and Nick Chater 20. Concepts as Causal Models: Categorization Bob Rehder 21. Concepts as Causal Models: Induction Bob Rehder 22. Causal Explanation Tania Lombrozo and Nadya Vasilyeva 23. Diagnostic Reasoning Björn Meder and Ralf Mayrhofer 24. Inferring Causal Relations by Analogy Keith J. Holyoak and Hee-Seung Lee 25. Causal Argument Ulrike Hahn, Roland Bluhm, and Frank Zenker 26. Causality in Decision- Making York Hagmayer and Philip M. Fernbach Part III: Domains of Causal Reasoning 27. Intuitive Theories Tobias Gerstenberg and Joshua B. Tenenbaum 28. Space, Time, and Causality Marc J. Buehner 29. Causation in Legal and Moral Reasoning David A. Lagnado and Tobias Gerstenberg 30. The Role of Causal Knowledge in Reasoning About Mental Disorders Woo-kyoung Ahn, Nancy S. Kim, and Matthew S. Lebowitz 31. Causality and Causal Reasoning in Natural Language Torgrim Solstad and Oliver Bott 32. Social Attribution and Explanation Denis Hilton Part IV: Development, Phylogeny, and Culture 33. The Development of Causal Reasoning Paul Muentener and Elizabeth Bonawitz 34. Causal Reasoning in Non-Human Animals Christian Schloegl and Julia Fischer 35. Causal Cognition and Culture Andrea Bender, Sieghard Beller, and Douglas L. Medin. (shrink)

This inaugural handbook documents the distinctive research field that utilizes history and philosophy in investigation of theoretical, curricular and pedagogical issues in the teaching of science and mathematics. It is contributed to by 130 researchers from 30 countries; it provides a logically structured, fully referenced guide to the ways in which science and mathematics education is, informed by the history and philosophy of these disciplines, as well as by the philosophy of education more generally. The first handbook to cover the (...) field, it lays down a much-needed marker of progress to date and provides a platform for informed and coherent future analysis and research of the subject. -/- The publication comes at a time of heightened worldwide concern over the standard of science and mathematics education, attended by fierce debate over how best to reform curricula and enliven student engagement in the subjects There is a growing recognition among educators and policy makers that the learning of science must dovetail with learning about science; this handbook is uniquely positioned as a locus for the discussion. -/- The handbook features sections on pedagogical, theoretical, national, and biographical research, setting the literature of each tradition in its historical context. Each chapter engages in an assessment of the strengths and weakness of the research addressed, and suggests potentially fruitful avenues of future research. A key element of the handbook’s broader analytical framework is its identification and examination of unnoticed philosophical assumptions in science and mathematics research. It reminds readers at a crucial juncture that there has been a long and rich tradition of historical and philosophical engagements with science and mathematics teaching, and that lessons can be learnt from these engagements for the resolution of current theoretical, curricular and pedagogical questions that face teachers and administrators. (shrink)