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AI algorithms, data structures, and idioms in Prolog, Lisp, by George F. Luger, William A Stubblefield

By George F. Luger, William A Stubblefield

AI Algorithms, facts constructions, and Idioms in Prolog, Lisp, and Java

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The success of the model has made it rare to find a programming language that does not incorporate at least some objectoriented ideas. Our first introduction of object-oriented languages is with the Common Lisp Object System in Chapter 18 of Part III. However, in Part IV, we have chosen Java to present the use of object-oriented tools for AI programming. Java offers an elegant implementation of object-orientation that implements single inheritance, dynamic binding, interface definitions, packages, and other object concepts in a language syntax that most programmers will find natural.

For example, we could design a list of response rules for opus, giving him different responses for different questions. This list of rules, each rule in parentheses, would then become a parameter of the frame and, depending on the value of X passed to the opus frame, would define the appropriate response. More complex examples could be rules describing the control of a thermostat or creating a graphic image appropriate to a set of values. Examples of this are presented in both Lisp (Chapter 17) and Java (Chapter 21) where attached procedures, often called methods, play an important role in object-oriented representations.

D. Warren and Fernando Pereira. They produced the first Prolog interpreter robust enough for delivery to the general computing community. This product was built using the “C” language on the DEC-system 10 and could operate in both interpretive and compiled modes (Warren, Pereira, et al. 1979). Further descriptions of this early code and comparisons of Prolog with Lisp may be found in Warren et al. (Warren, Pereira, et al. 1977). This “Warren and Pereira” Prolog became the early standard. The book Programming in Prolog (Clocksin and Mellish 1984, now in its fifth edition) was created by two other researchers at the Department of Artificial Intelligence, Bill Clocksin and Chris Mellish.

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