A Methodology of Collaborative

Synthesis by Artificial Intelligence

-- JSPS Research for the Future Program: Science of Synthesis --

Riichiro Mizoguchi, Yoshinobu Kitamura, ISIR, Osaka University

Eiji Arai, Graduate school of Engineering, Osaka University

Masahiko Onosato, Graduate school of Engineering, Osaka University

Koji Kawakami, Graduate school of Engineering, Kyoto University

Tadataka Konishi, Faculty of Engineering, Okayama University

Abstract

This project aims at establishing basic theories and fundamental methodologies for

synthesis through knowledge systematization by exploiting the artificial intelligence

technology, especially Ontological Engineering. The concrete objectives of the project

include development several kinds of ontologies for knowledge systematization and

development of a multi-agent collaborative synthesis framework. The formers mainly

concerned with the domain-independent design object knowledge and the latter with

domain-independent design process knowledge. This paper report on the intermediate

results in the middle of the project term(five years) as well as on the future plan.

Keywords: Knowledge systematization, ontology, multiagent,