Artificial Dreams: The Quest for Non-Biological Intelligence

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Cambridge University Press, Apr 21, 2008 - Psychology
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This book is a critique of Artificial Intelligence (AI) from the perspective of cognitive science – it seeks to examine what we have learned about human cognition from AI successes and failures. The book's goal is to separate those 'AI dreams' that either have been or could be realized from those that are constructed through discourse and are unrealizable. AI research has advanced many areas that are intellectually compelling and holds great promise for advances in science, engineering, and practical systems. After the 1980s, however, the field has often struggled to deliver widely on these promises. This book breaks new ground by analyzing how some of the driving dreams of people practicing AI research become valued contributions, while others devolve into unrealized and unrealizable projects.

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User Review  - fpagan - LibraryThing

An ambitious, philosophy-ish critique of artificial intelligence, the various approaches to which Ekbia divides into the categories of supercomputing, cybernetic, knowledge-intensive, case-based ... Read full review

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This book did an excellent job at articulating and critically examining the underlying assumptions behind the major approaches to AI. Ekbia did an excellent job at explaining the motivations of each approach and the major obstacles faced by that approach. By the end of the book, the reader has a good intuitive sense of the big picture of AI, where we are and what the main challenges we face. I learned a great deal from the book and strongly recommend it to those who are interested in AI.  


Prologue Perennial Dreams
The Origins of AI
Supercomputing AI
Cybernetic AI
KnowledgeIntensive AI
CaseBased AI
Connectionist AI
Dynamical AI
Epilogue Democritus Atomic Dream
Appendix A Minimax and AlphaBeta Pruning
Appendix B An Introduction to Connectionism
Appendix C The Language Acquisition Debate
Author index
Subject Index

Neorobotic AI
Analogical AI

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Page 6 - It seems to me that the historical analysis of scientific discourse should, in the last resort, be subject, not to a theory of the knowing subject, but rather to a theory of discursive practice.

About the author (2008)

H.R. Ekbia is associate professor of information science and cognitive science at Indiana University, where he is also affiliated with the School of Informatics. Initially trained as an engineer, Ekbia switched his focus to study cognitive science in order to pursue a lifelong interest in the workings of the human mind. To get a deeper understanding of the questions that AI research and writing posed but hastily tackled, Ekbia in turn began to focus on the philosophy of science and science studies, through which he discovered novel ways of thinking about science, technology, and the human mind. This broad intellectual background is well reflected in Ekbia writings, which range over a diverse set of topics on the human mind, machines, and the mediated interactions between the two. Ekbia has taught extensively in the areas of computer science, information science, and cognitive science. He currently teaches human-computer interaction and social informatics at the School of Library and Information Science at Indiana University.

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