Foundations Of Artificial Intelligence

In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position.Have the classical methods and ideas of AI outlived their usefulness? Foundations of Artificial Intelligence critically evaluates the fundamental assumptions underpinning the dominant approaches to AI. In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position. They discuss the underlying principles, describe the natural types of problems and tasks in which their approach succeeds, explain where its power comes from, and what its scope and limits are. Theorists generally skeptical of these positions evaluate the effectiveness of the method or approach and explain why it works - to the extent they believe it does - and why it eventually fails.ContentsFoundations of AI: The Big Issues, D. Kirsh Logic and Artificial Intelligence, N. J. Nilsson Rigor Mortis: A Response to Nilsson's 'Logic and Artificial Intelligence,' L. Birnbaum Open Information Systems Semantics for Distributed Artificial Intelligence, C. Hewitt Social Conceptions of Knowledge and Action: DAI Foundations and Open Systems Semantics, L. Gasser Intelligence without Representation, R. A. Brooks Today the Earwig, Tomorrow Man? D. Kirsh On the Thresholds of Knowledge, D. B. Lenat, E. A. Feigenbaum The Owl and the Electric Encyclopedia, B. C. Smith A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence, P. S. Rosenbloom, J. E. Laird, A. Newell, R. McCarl Approaches to the Study of Intelligence, D. A. Norman