Artificial Intelligence: Principles and Applications

Abstract

Part 1. Principles of artificial intelligence, John Campbell. Part 2 Tools and techniques: artificial intelligence programming environments and the POPLOG system, John Gibson LISP, lists and pattern-matching, Tony Hasemer. Part 3 Applications: computer processing of natural languages, Alan Ramsay levels of representation in computer speech synthesis and recognition, Stephen Isard computer vision, David Hogg artificial intelligence and robotics, Michael Brady the anatomy of expert systems, Richard Forsyth. Part 4 Frontiers: machine learning, Richard Forsyth memory models of man and machine, Ajit Narayanan. Part 5 Implications: why artificial intelligence needs an empirical foundation, Noel E Sharkey and Gordan D A Brown breaking out of the chinese room, Steve Torrance social implications of artificial intelligence, Derek Partridge.