Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
Explanation-Based Generalization: A Unifying View
Machine Learning
Tailoring Advanced Instructional Software for AI
IEA/AIE '92 Proceedings of the 5th international conference on Industrial and engineering applications of artificial intelligence and expert systems
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The Portable Al Lab (PAIL) is an integrated collection of modules implementing established Al tools and techniques intended for use as a resource for teaching or learning artificial intelligence (Al). to well illustrated Al concepts by providing a set of incrementally complex demonstration programs, interactive tools to develop new examples, on-line context sensitive documentation with the description of the techniques involved, bibliographic references, and a set of exercises and projects. PAIL supplies a consistent interface that allows naive and more expert users to explore the core of Al algorithms in source form or graphically.This paper describes and illustrates in depth the implementation and use of one of the twelve modules currently available and presents a discussion of the motivation behind, and some enhacement to, the communication between modules which is one of the key features of the system.This public domain system is implemented in Common Lisp, CLOS, and Common Windows and runs on SPARC stations. It is distributed in source form via FTP. An alpha version of the same system is now available on Macintosh hardware.