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Inside Case Based Reasoning

Author: Christopher K. Riesbeck
Publisher: Psychology Press
ISBN: 1134930097
Size: 23.63 MB
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Introducing issues in dynamic memory and case-based reasoning, this comprehensive volume presents extended descriptions of four major programming efforts conducted at Yale during the past several years. Each descriptive chapter is followed by a companion chapter containing the micro program version of the information. The authors emphasize that the only true way to learn and understand any AI program is to program it yourself. To this end, the book develops a deeper and richer understanding of the content through LISP programming instructions that allow the running, modification, and extension of the micro programs developed by the authors.

Tell Me A Story

Author: Roger C. Schank
Publisher: Northwestern University Press
ISBN: 9780810113138
Size: 75.30 MB
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In this study by an expert on learning and computers, the author argues that artificial intelligence must be based on real human intelligence.

Knowledge Structures

Author: James A. Galambos
Publisher: Psychology Press
ISBN: 1134931980
Size: 34.53 MB
Format: PDF, Docs
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First Published in 1986. Routledge is an imprint of Taylor & Francis, an informa company.

Inside Computer Understanding

Author: R. C. Schank
Publisher: Psychology Press
ISBN: 1135830398
Size: 26.45 MB
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First published in 1981. Routledge is an imprint of Taylor & Francis, an informa company.

Dynamic Memory Revisited

Author: Roger C. Schank
Publisher: Cambridge University Press
ISBN: 9780521633987
Size: 75.79 MB
Format: PDF, Docs
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Crucial reading for those concerned with education and school reform.

Explanation Patterns

Author: R. P. Schank
Publisher: Psychology Press
ISBN: 1134930372
Size: 18.15 MB
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First Published in 1986. Routledge is an imprint of Taylor & Francis, an informa company.

Narrative Intelligence

Author: Michael Mateas
Publisher: John Benjamins Publishing
ISBN: 9781588112743
Size: 80.96 MB
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Narrative Intelligence (NI) the confluence of narrative, Artificial Intelligence, and media studies studies, models, and supports the human use of narrative to understand the world. This volume brings together established work and founding documents in Narrative Intelligence to form a common reference point for NI researchers, providing perspectives from computational linguistics, agent research, psychology, ethology, art, and media theory. It describes artificial agents with narratively structured behavior, agents that take part in stories and tours, systems that automatically generate stories, dramas, and documentaries, and systems that support people telling their own stories. It looks at how people use stories, the features of narrative that play a role in how people understand the world, and how human narrative ability may have evolved. It addresses meta-issues in NI: the history of the field, the stories AI researchers tell about their research, and the effects those stories have on the things they discover. (Series B)

Methodologies For Intelligent Systems

Author: Zbigniew W. Ras
Publisher: Springer Science & Business Media
ISBN: 9783540584957
Size: 28.59 MB
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This volume contains the revised versions of the papers presented at the Eighth International Symposium on Methodologies for Intelligent Systems (ISMIS '94), held in Charlotte, North Carolina, USA in October 1994. Besides four invited contributions by renowned researchers on key topics, there are 56 full papers carefully selected from more than 120 submissions. The book presents the state of the art for methodologies for intelligent systems; the papers are organized in sections on approximate reasoning, evolutionary computation, intelligent information systems, knowledge representation, methodologies, learning and adaptive systems, and logic for AI.

Computation And Human Experience

Author: Philip Agre
Publisher: Cambridge University Press
ISBN: 9780521386036
Size: 18.98 MB
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By paying close attention to the metaphors of artificial intelligence and their consequences for the field's patterns of success and failure, this text argues for a reorientation of the field away from thought and toward activity. It offers a critical reconstruction of AI research.