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Proceedings Paper

Application of fuzzy logic in intelligent software agents for IP selection
Author(s): Jian Liu; Eugene B. Shragowitz
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Paper Abstract

IPs (Intellectual Properties) are becoming increasingly essential in today's electronic system design. One of important issues in design reuse is the IP selection, i.e. finding an existing solution that matches the user's expectations best. This paper describes the Internet-based intelligent software system (Software Agent) that helps the user to pick out the optimal designs among those marketed by the IP vendors. The Software Agent for IP Selection (SAFIPS) conducts dialogues with both the IP users and IP vendors, narrowing the choices after evaluating general characteristics first, followed by matching behavioral, RTL, logic, and physical levels. The SAFIPS system conducts reasoning based on fuzzy logic rules derived in the process of dialogues of the software agent with the IP users and vendors. In addition to the dialogue system and fuzzy logic inference system, the SAFIPS includes a HDL simulator and fuzzy logic evaluator that are used to measure the level of matching of the user's behavioral model with the IP vendor's model.

Paper Details

Date Published: 1 November 1999
PDF: 8 pages
Proc. SPIE 3812, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation II, (1 November 1999); doi: 10.1117/12.367693
Show Author Affiliations
Jian Liu, Univ. of Minnesota/Twin Cities (United States)
Eugene B. Shragowitz, Univ. of Minnesota/Twin Cities (United States)


Published in SPIE Proceedings Vol. 3812:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation II
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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