著者
津田 一郎 ケルナー エドガー 清水 博
出版者
物性研究刊行会
雑誌
物性研究 (ISSN:05252997)
巻号頁・発行日
vol.50, no.4, pp.664-666, 1988-07-20

この論文は国立情報学研究所の電子図書館事業により電子化されました。
著者
辻野 広司 ケルナー エドガー 桝谷 知彦
出版者
社団法人人工知能学会
雑誌
人工知能学会誌 (ISSN:09128085)
巻号頁・発行日
vol.12, no.3, pp.440-447, 1997-05-01
被引用文献数
6

We propose a multi-agent system for hypothetical reasoning based on a large-scale computational theory on essential characteristics of neocortical processing. For a problem-solving on a real world environment, we require both a large-scale computational theory and a robust local computational theory. As a large-scale computational theory, we develop a hypothetical reasoning system by introducing a knowledge-based control on agents and a local commu-nication among agents. These agents communicate each other to reach a globally consistent solution while they locally perform hypothesis generation, representation and evaluation based on a memory-based reasoning as a robust local computational theory. This memory-based reasoning is defined by a principal component analysis, and applies both a deductive reasoning and an inductive reasoning with a least amount of memory that are requisites for hypothetical reasoning. By its multiple representation of same-type knowledge, and its intrinsic local control for decision-state-dependent recall of that knowledge, the proposed agents also serve as symbolic representations of the signal description of a respective feature. Since vision is a typical case for problem-solving by hypothetical reasoning, the proposed general architecture has been used to implement a model on face recognition to verify its performance.