First Published in 1977. In the summer of 1971, there was a workshop in an ill-defined field at the intersection of psychology, artificial intelligence, and linguistics. The fifteen participants were in various ways interested in the representation of large systems of knowledge (or beliefs) based upon an understanding process operating upon information expressed in natural language. This book reflects a convergence of interests at the intersection of psychology and artificial intelligence. What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.
First Published in 1977. In the summer of 1971, there was a workshop in an ill-defined field at the intersection of psychology, artificial intelligence, and linguistics. The fifteen participants were in various ways interested in the representation of large systems of knowledge (or beliefs) based upon an understanding process operating upon information expressed in natural language. This book reflects a convergence of interests at the intersection of psychology and artificial intelligence. What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.
First Published in 1986. This book marks a watershed in cognitive science activity at Yale University. Over the past decade, the cognitive science orientation has become more and more integrated into the mainstream of cognitive psychology, and artificial intelligence workers now feel comfortable thinking about psychological experimentation. This book collects in one place the research work which concentrates on covering topics in the representation, processing, and recall of meaningful verbal .materials. Several of the chapters are first reports of research; others are specially prepared reviews and elaborations of research reported previously. Here it is all together: Studies of scripts, plans, and higher-level knowledge structures; analyses of knowledge structure activation, of autobiographical memory, of the phenomenon of reminding, of the summarization of text, of explanations for events, and more.
This dissertation describes a theory of memory representation, organization, and processing for in-depth understanding of complex narrative texts. Complicated texts require that many different knowledge sources be represented, coordinated, instantiated, searched and applied. Such sources include: goals, plans, scripts, physical objects, settings, interpersonal relationships, social roles, and emotional reactions. This theory is implemented in BORIS, a computer program which reads and answers questions about narratives involving such topics as: divorce, legal disputes, personal favors, and service contracts.
Theoretically, the term "script" appears to be rather ill-defined. This book clarifies the use of the term "script" in education. It approaches the term from at least three perspectives: cognitive psychology perspective, computer science perspective, and an educational perspective. The book provides learners with scripts that support them both in communication/coordination and in higher-order learning.
Cognitive psychologists have found the production systems class of computer simulation models to be one of the most direct ways to cast complex theories of human intelligence. There have been many scattered studies on production systems since they were first proposed as computational models of human problem-solving behavior by Allen Newell some twenty years ago, but this is the first book to focus exclusively on these important models of human cognition, collecting and giving many of the best examples of current research. In the first chapter, Robert Neches, Pat Langley, and David Klahr provide an overview of the fundamental issues involved in using production systems as a medium for theorizing about cognitive processes, emphasizing their theoretical power. The remaining chapters take up learning by doing and learning by understanding, discrimination learning, learning through incremental refinement, learning by chunking, procedural earning, and learning by composition. A model of cognitive development called BAIRN is described, and a final chapter reviews John Anderson's ACT theory and discusses how it can be used in intelligent tutoring systems, including one that teaches LISP programming skills. In addition to the editors, the contributors are Yuichiro Anzai (Hokkaido University, Japan), Paul Rosenbloom (Stanford) and Allen Newell (Carnegie-Mellon), Stellan Ohlsson (University of Pittsburgh), Clayton Lewis (University of Colorado, Boulder), Iain Wallace and Kevin Bluff (Deakon University, Australia), and John Anderson (Carnegie-Mellon). David Klahr is Professor and Head of the Department of Psychology at Carnegie-Mellon University. Pat Langley is Associate Professor, Department ofInformation and Computer Science, University of California, Irvine, and Robert Neches is Research Computer Scientist at University of Southern California Information Sciences Institute. "Production System Models of Learning and Development" is included in the series Computational Models of Cognition and Perception, edited by Jerome A. Feldman, Patrick J. Hayes, and David E.Rumelhart. A Bradford Book.
The impact of public narratives has been so broad (including effects on beliefs and behavior but extending beyond to emotion and personality), that the stakeholders in the process have been located across disciplines, institutions, governments, and, indeed, across epochs. Narrative Impact draws upon scholars in diverse branches of psychology and media research to explore the subjective experience of public narratives, the affordances of the narrative environment, and the roles played by narratives in both personal and collective spheres. The book brings together current theory and research presented primarily from an empirical psychological and communications perspective, as well as contributions from literary theory, sociology, and censorship studies. To be commensurate with the broad scope of influence of public narratives, the book includes the narrative mobilization of major social movements, the formation of self-concepts in young people, banning of texts in schools, the constraining impact of narratives on jurors in the court room, and the wide use of education entertainment to affect social changes. Taken together, the interdisciplinary nature of the book and its stellar list of contributors set it apart from many edited volumes. Narrative Impact will draw readership from various fields, including sociology, literary studies, and curriculum policy. Providing new explanatory concepts, this book: *is the first account on the psychology of narrative persuasion and brings together the relevant conceptualizations from within various sectors of psychology together with the major issues that concern cognate disciplines outside of psychology; *focuses on understanding the mechanisms that underlie the power of public narratives to achieve broad historical and social changes; *offers breakthroughs to the future: the role of "presence" in virtual reality narratives; the role of "zines" in females' fashioning of their selves; and the central role of imagery in transportation into narrative worlds; *explains varying roles of emotion in narrative immersion; and *addresses the growing blurring of fact and fiction: mechanisms and implications for beliefs and behavior.
From grade school to graduate school, from the poorest public institutions to the most affluent private ones, our educational system is failing students. In his provocative new book, cognitive scientist and bestselling author Roger Schank argues that class size, lack of parental involvement, and other commonly-cited factors have nothing to do with why students are not learning. The culprit is a system of subject-based instruction and the solution is cognitive-based learning. This groundbreaking book defines what it would mean to teach thinking. The time is now for schools to start teaching minds!
A compelling case for the re-examination of interface design models is presented by this text's assertion that human behavior is not taken into account in the planning model generally favored by artificial intelligence.
