This study addresses the issue of artifact kinds from a psychological and cognitive perspective. The primary interest of the investigation lies in understanding how artifacts are categorized and what are the properties people rely on for their identification. According to a classical philosophical definition artifacts form an autonomous class of instances including all and only those objects that do not exist in nature, but are artificial, in the sense that they are made by an artĭfex. This definition suggests that artifacts (...) are classified primarily on the basis of the recognition of their artificial nature. Nevertheless, many psychological and cognitive studies maintain that artifacts are categorized mainly on the basis of the recognition of the function they have been made to accomplish. Since tools are also categorized primarily on the basis of their function, this would imply that artifacts and tools are represented in the same way. In the study participants categorized a set of objects (denoted by words) once as tools and once as artifacts. Results show that reaction times (RTs) are faster in the artifact categorization condition than in the tool categorization condition. This pattern indicates that artifacts and tools are not represented in the same way and that the identification of the members of each class is carried out in the basis of different criteria. (shrink)

In summaries of “best practices” for pedagogy, one typically encounters enthusiastic advocacy for metacognition. Some researchers assert that the body of evidence supplied by decades of education studies indicates a clear pedagogical imperative: that if one wants their students to learn well, one must implement teaching practices that cultivate students’ metacognitive skills. -/- In this dissertation, I counter that education research does not impose such a mandate upon instructors. We lack sufficient and reliable evidence from studies that use the appropriate (...) research design to validate the efficacy of metacognitive skill-building interventions (not just evaluate their relationship to learning outcomes). I argue that improved academic outcomes following these interventions aren’t necessarily mediated by increased metacognitive skills; rather, enhanced student performance can be accounted for by other factors that accompany metacognitive training, particularly the explicit provision of domain-specific knowledge. -/- On the way to this conclusion, I elaborate some complications and controversies surrounding “metacognition.” This is a sprawling and nebulous construct, which makes generalizations about its pedagogical value dubious from the outset. Moreover, it is unclear the extent to which the end goal of metacognitive skill-building (cognitive self-mastery, involving knowledge of and control over our own minds) is even possible, given our mental architecture; some cognitive scientists allege that we are subject to phenomenological illusions which make this seem more achievable than it actually is. -/- I also attempt to provide an account of how metacognitive skill-building could receive glowing endorsements from educators and education researchers, even though its conceptual and empirical underpinnings are flimsy. The error theory I offer identifies two major factors that may foster belief in the efficacy of metacognitive training: goalpost-shifting around the objective of such efforts, and motivated reasoning in defense of the desirable conclusion that educators can significantly reshape students’ minds and unlock their intellectual potential through simple pedagogical interventions. (shrink)

Prior research shows adults believe objects exist for specialised purposes. This “one tool, one function” cognitive bias promotes efficient mastery of artefact function but could mean indiv...

Picture books are an important source of new language, concepts, and lessons for young children. A large body of research has documented the nature of parent-child interactions during shared book reading. A new body of research has begun to investigate the features of picture books that support children's learning and transfer of that information to the real world. In this paper, we discuss how children's symbolic development, analogical reasoning, and reasoning about fantasy may constrain their ability to take away content (...) information from picture books. We then review the nascent body of findings that has focused on the impact of picture book features on children's learning and transfer of words and letters, science concepts, problem solutions, and morals from picture books. In each domain of learning we discuss how children's development may interact with book features to impact their learning. We conclude that children's ability to learn and transfer content from picture books can be disrupted by some book features and research should directly examine the interaction between children's developing abilities and book characteristics on children's learning. (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 paper puts together an ancientand a recent approach to classificatory language, thought, and ontology.It includes on the one hand an interpretation of Aristotle's ten categories,with remarks on his first category, called (or translated as) substancein the Categories or What a thing is in the Topics. On the other hand is the ideaof domain-specific cognitive abilities urged in contemporary developmentalpsychology. Each family of ideas can be used to understand the other. Neitherthe metaphysical nor the psychological approach is intrinsically morefundamental; they (...) complement each other. The paper incidentally clarifies distinct uses of the word category in different disciplines, and also attempts to make explicit several notions of domain. It also examines Aristotle's most exotic and least discussed categories, being-in-a-position (e.g., sitting) and having-(on) (e.g., armour). Finally the paper suggests a tentative connectionbetween Fred Sommers' theory of types and Aristotle's first category. (shrink)

A theory of how concept formation begins is presented that accounts for conceptual activity in the first year of life, shows how increasing conceptual complexity comes about, and predicts the order in which new types of information accrue to the conceptual system. In a compromise between nativist and empiricist views, it offers a single domain-general mechanism that redescribes attended spatiotemporal information into an iconic form. The outputs of this mechanism consist of types of spatial information that we know infants attend (...) to in the first months of life. These primitives form the initial basis of concept formation, allow explicit preverbal thought, such as recall, inferences, and simple mental problem solving, and support early language learning. The theory details how spatial concepts become associated with bodily feelings of force and trying. It also explains why concepts of emotions, sensory concepts such as color, and theory of mind concepts are necessarily later acquisitions because they lack contact with spatial descriptions to interpret unstructured internal experiences. Finally, commonalities between the concepts of preverbal infants and nonhuman primates are discussed. (shrink)

Is formal simplicity a guide to learning in humans, as simplicity is said to be a guide to the acceptability of theories in science? Does simplicity determine the difficulty of various learning tasks? I argue that, similarly to how scientists sometimes preferred complex theories when this facilitated calculations, results from perception, learning and reasoning suggest that formal complexity is generally unrelated to what is easy to learn and process by humans, and depends on assumptions about available representational and processing primitives. (...) “Simpler” hypotheses are preferred only when they are also easier to process. Historically, “simpler”, easier‐to‐process, scientific theories might also be preferred if they are transmitted preferentially. Empirically viable complexity measures should build on the representational and processing primitives of actual learners, even if explanations of their behaviour become formally more complex. (shrink)