DocumentCode :
3355914
Title :
Functional transformations in AI discovery systems
Author :
Shen, Wei-Min
Author_Institution :
Dept. of Comput. Sci., Carnegie-Mellon Univ., Pittsburgh, PA, USA
Volume :
3
fYear :
1988
fDate :
0-0 1988
Firstpage :
266
Lastpage :
273
Abstract :
The power of scientific discovery systems derives from two main sources: a set of heuristics that determine when to apply a creative operator (an operator for forming new operators and concepts) in a space that is being explored; and a set of creative operators that determine what new operators and concepts will be created for that exploration. The author is concerned with the second issue, introducing a mechanism called functional transformations (FTs) for creating new and useful creative operators during exploration. He discusses the definition, creation, and application of FTs and describes, as a demonstration of its power, how the system ARE, starting with a small set of creative operations and a small set of heuristics, uses FTs to create all the concepts attained by D. Lenat´s (1974) AM system.<>
Keywords :
artificial intelligence; expert systems; AI discovery systems; AM system; ARE; creative operators; exploration; functional transformations; scientific discovery systems; Artificial intelligence; Computer science; Control systems; Data structures; Functional programming; Law; Learning systems; Legal factors; Mathematics; Problem-solving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1988. Vol.III. Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-First Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI, USA
Print_ISBN :
0-8186-0843-9
Type :
conf
DOI :
10.1109/HICSS.1988.11916
Filename :
11916
Link To Document :
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