Grounded on Experience: Semantics for intelligence (1995)
| Venue: | Center for Research on Concepts and Cognition, Indiana University |
| Citations: | 5 - 4 self |
BibTeX
@TECHREPORT{Wang95groundedon,
author = {Pei Wang},
title = {Grounded on Experience: Semantics for intelligence},
institution = {Center for Research on Concepts and Cognition, Indiana University},
year = {1995}
}
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Abstract
Model-theoretic semantics is inappropriate for adaptive systems working with insufficient knowledge and resources. An experience-grounded semantics is introduced in this paper, using NARS, an intelligent reasoning system, as a concrete example. In NARS, the truth value of a sentence indicates the amount of available evidence, and the meaning of a term indicates its experienced relationship with other terms. Accordingly, both truth value and meaning are dynamic and subjective. This approach provides new ideas to the solution of some important problems in artificial intelligence. 1 Introduction Semantics studies how the items in a language are related to the environment in which the language is used. Concretely, semantics is the theory of meaning and truth. To ask questions like "What is the meaning of a term?" and "What is the truth value of a sentence?", what we are looking for are the principles that determining meaning and truth in general, rather than the meaning of a specific wo...
