A distributed architecture for planning and scheduling that learns through negotiation cases

Author

Miyashita, Kazuo ; Hori, Masahiro

Author_Institution

Electrotech. Lab., Tsukuba, Japan

Volume

1

fYear

1996

fDate

18-21 Nov 1996

Firstpage

136

Abstract

In this paper, we propose a new integrated architecture for distributed planning and scheduling that exploits constraints for problem decomposition and coordination. One of the goals in our research is to develop an efficient method to solve densely constrained planning/scheduling problems in a distributed manner, and the other goal is to find an effective way to acquire useful context-dependent knowledge for improving problem solving performance dynamically in the course of interactions among problem solving agents

Keywords

case-based reasoning; cooperative systems; distributed processing; knowledge acquisition; planning (artificial intelligence); problem solving; scheduling; software agents; case based reasoning; distributed architecture; distributed planning; knowledge acquisition; negotiation; problem coordination; problem decomposition; problem solving; scheduling; Artificial intelligence; Computer aided software engineering; Constraint theory; Control systems; Decision support systems; Laboratories; Large-scale systems; Problem-solving; Process planning; Production;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies and Factory Automation, 1996. EFTA '96. Proceedings., 1996 IEEE Conference on

Conference_Location

Kauai, HI

Print_ISBN

0-7803-3685-2

Type

conf

DOI

10.1109/ETFA.1996.573267

Filename

573267