Artificial intelligence-definition and practice

Abstract

A class of computer systems has emerged that makes extensive use of the capability of computers to operate equally well in processing either numbers or symbols. The best known such systems are the expert systems. The research from which these systems are derived is called artificial intelligence. An overview of the field is presented with definitions, recommendations, and an example. Following the definition of terms and a brief history, potential roles which a symbolic processing system might play are discussed, with a brief summary of those which have been most successfully used. The various methodologies in use and their respective strengths are reported. Arguments about the best language to use (such as the choice between LISP and PROLOG) are addressed. A practical example is described in some detail. The strengths and potential of parallel architectures and neural-net machines are briefly noted.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>