Literature Review Section
305
Forsyth, Richard. Expert Systems: Principles and Case Studies (N.Y.: Chapman and Hall, 1984, 231pp). An excellent compilation of systems and the particulars which make them work in some instances and not in others. The case studies explain reasons for using the systems chosen.
Gilbert, C. Nigel and Heath, Christian. Social Actions as Artificial Intelligence (Brookfield, VT.: Gower Publishing, 1985). This is the third volume from the series of conferences on sociological theory and method held at the University of Surrey. The first four chapters explore the relationship of artificial intelligence and social science on conceptual and theoretical levels; two chapters on language systems, and three on evaluation.
Goodman, Irwin, and Nguyen, Hung. Uncertainty Models for Knowledge Based Systems: A Unified Approach to the Measurement of Uncertainty (NY: Elsevier Science Publishing Co., 1985, 643pp). The authors posit significant perspectives and points to be considered for specific purposes.
Gunderson, Keith. Mentality and Machines (Minneapolis: University of Minnesota Press, 1985, 260pp). A fascinating approach to AI through discussions of the thoughts of Descarte, LaMettre, and of programmed behavior, robots and the philosophy of computer simulations.
Pearl, Judea. Heuristics: Intelligent Search Strategies for Computer Problem Solving (Reading, MA.: Addison-Wesley, 1984, 382pp). This book was meant to be a package of theoretical results obtained at the UCLA Cognitive Systems Laboratory over a period of three years, but the author included an overview of heuristics, description and taxonomy of the basic search strategies. The text provides an analysis of the nature and power of typical heuristic methods most often used in AI and operations research.
Reichman, Rachel. Getting Computers to Talk Like You and Me: Discourse, Context, Focus, and Semantics (Cambridge, MA.: MIT Press, 1985, 221pp). With interesting approaches to the general topic, this book provides particulars on the topics of interest to a wide audience.