"Consider for a moment the layers of structure and meaning that are attached to concepts like lawsuit, birthday party, fire, mother, walrus, cabbage, or king.... If I tell you that a house burned down, and that the fire started at a child's birthday party, you will think immediately of the candles on the cake and perhaps of the many paper decorations. You will not, In all probability, find your…
"A Bradford book.""Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier. Judd looks beyond the scope of any one particular learning rule, at a level abo…
"A Bradford book."Stephen Grossberg and his colleagues at Boston University's Center for Adaptive Systems are producing some of the most exciting research in the neural network approach to making computers "think." Packed with real-time computer simulations and rigorous demonstrations of these phenomena, this book includes results on vision, speech, cognitive information processing; adaptive pa…
The definitive presentation of Soar, one AI's most enduring architectures, offering comprehensive descriptions of fundamental aspects and new components.
Contributors explore the potential benefits, risks & ethical aspects of protocell technology, which creates simple forms of life from nonliving material.
"A Bradford book."OCLC-licensed vendor bibliographic record. Catching Ourselves in the Act uses situated robotics, ethology, and developmental psychology to erect a new framework for explaining human behavior. Rejecting the cognitive science orthodoxy that formal task-descriptions and their implementation are fundamental to an explanation of mind, Horst Hendriks-Jansen argues for an alternative…
The idea of intelligent machines has become part of popular culture. Tracing the history of the actual science of machine intelligence reveals a rich network of cross-disciplinary contributions, and the origins of ideas now central to artifical intelligence, artificial life, cognitive science and neuroscience.
This account of the creation of new forms of life and intelligence in the sciences of cybernetics, artificial life and artificial intelligence analyses both their similarities and their differences in actualising life. The author draws on the work of scientists as well as work in contemporary philosophy and cultural theory.
Modeling and implementing dynamical systems is a central problem in artificial intelligence, robotics, software agents, simulation, decision and control theory, and many other disciplines. In recent years, a new approach to representing such systems, grounded in mathematical logic, has been developed within the AI knowledge-representation community. This book presents a comprehensive treatment …
"A Bradford book."OCLC-licensed vendor bibliographic record.