Artificial Dreams: The Quest for Non-Biological Intelligence
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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LibraryThing ReviewUser 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
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.
Epilogue Democritus Atomic Dream
Appendix A Minimax and AlphaBeta Pruning
Appendix B An Introduction to Connectionism
Appendix C The Language Acquisition Debate