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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zadeh, L.A. |
| Copyright Year | 2002 |
| Description | Author affiliation: Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA (Zadeh, L.A.) |
| Abstract | Existing search engines have many remarkable capabilities. But what is not among them is deduction capability-the capability to answer a query by drawing on information which resides in various parts of the knowledge base or is augmented by the user. The problem-which is not widely recognized-is that much of the information in the knowledge base of a search engine is perception-based. Methods based on bivalent logic and standard probability theory lack capability to operate on perception-based information. A search engine with deduction capability is, in effect, a question-answering system. Limited progress toward a realization of deduction capability is achievable through application of methods based on bivalent logic and standard probability theory. But to move beyond the reach of standard methods it is necessary to change direction. In the approach which is outlined, a concept which plays a pivotal role is that of a prototype-a concept which has a position of centrality in human reasoning, recognition, search and decision processes. |
| Sponsorship | IEEE Syst., Man & Cybernetics Soc |
| Starting Page | 523 |
| Ending Page | 525 |
| File Size | 203378 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780374614 |
| DOI | 10.1109/NAFIPS.2002.1018115 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-06-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Prototypes Search engines Fuzzy sets Deductive databases Probabilistic logic Contracts NASA Humans Computer science Laboratories |
| Content Type | Text |
| Resource Type | Article |
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