TYPICAL: A Knowledge Representation System for Automated Discovery and Inference

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Title: en_US TYPICAL: A Knowledge Representation System for Automated Discovery and Inference
Creator: en_US Haase, Kenneth W., Jr.
Date: 2004-10-20T20:02:33Z
Date Available: 2004-10-20T20:02:33Z
Date Issued: en_US 1987-08-01
Identifier: en_US AITR-988
uri: http://hdl.handle.net/1721.1/6852
Abstract: en_US TYPICAL is a package for describing and making automatic inferences about a broad class of SCHEME predicate functions. These functions, called types following popular usage, delineate classes of primitive SCHEME objects, composite data structures, and abstract descriptions. TYPICAL types are generated by an extensible combinator language from either existing types or primitive terminals. These generated types are located in a lattice of predicate subsumption which captures necessary entailment between types; if satisfaction of one type necessarily entail satisfaction of another, the first type is below the second in the lattice. The inferences make by TYPICAL computes the position of the new definition within the lattice and establishes it there. This information is then accessible to both later inferences and other programs (reasoning systems, code analyzers, etc) which may need the information for their own purposes. TYPICAL was developed as a representation language for the discovery program Cyrano; particular examples are given of TYPICAL's application in the Cyrano program.
Extent: en_US 110 p.; 15193975 bytes; 5787044 bytes
Format: application/postscript; application/pdf
Language: en_US
Relation: en_US AITR-988
Subject: en_US knowledge representation; en_US discovery; en_US type inference; en_US ssubsumption

Item sets: AI Technical Reports (1964 - 2004)