Causal learning psychology, philosophy, and computation

Casual Learning provides a compendium of research determining how, in principle, the problem of causal inference and learning can be solved, and a wealth of methods for determining how it is, in fact, solved by children, adults, and animals.This is the first book to bring together leading researcher...

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Detalles Bibliográficos
Otros Autores: Gopnik, Alison (-), Schulz, Laura Elizabeth
Formato: Libro electrónico
Idioma:Inglés
Publicado: Oxford ; New York : Oxford University Press 2007.
Edición:1st ed
Colección:Oxford Series in Cognitive Development.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009798383506719
Descripción
Sumario:Casual Learning provides a compendium of research determining how, in principle, the problem of causal inference and learning can be solved, and a wealth of methods for determining how it is, in fact, solved by children, adults, and animals.This is the first book to bring together leading researchers carrying out this new research in all these areas of cognitive science. The chapters focus on three topics: the role of intervention and action in causal understanding, the role of causation in categories and concepts, and the relationship between causal learning and intuitive theory formation. The book provides an accessible and clear introduction to the new computational ideas, and with many coauthored chapters and much interaction between the chapters, it presents an active dialogue among the authors.
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9780198039280
978019517680