The convergence of intelligent software agents and field area networks

Author

Palensky, P.

Author_Institution

Inst. of Comput. Technol., Wien Univ., Austria

Volume

2

fYear

1999

fDate

1999

Firstpage

917

Abstract

This paper discusses how intelligent software agents can be implemented on the nodes of a field area network (FAN). A number of aspects are to be mentioned to adapt this booming part of distributed artificial intelligence for FANs. First the typical properties of a FAN such as its small bandwidth and low computational power in the nodes restrict the possibilities for agent design. On the other hand, neural decision mechanisms and learning knowledge bases inside the agents or cooperation and negotiation among agents are a challenge for the FAN. This paper describes ways of combining both technologies and the benefits that emerge from this combination

Keywords

local area networks; multi-agent systems; neural nets; software agents; cooperation; distributed artificial intelligence; field area networks; intelligent software agents; learning knowledge bases; low computational power; negotiation; neural decision mechanisms; small bandwidth; Artificial intelligence; Computational intelligence; Convergence; Humans; Intelligent actuators; Intelligent agent; Intelligent networks; Intelligent sensors; Protocols; Software agents;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies and Factory Automation, 1999. Proceedings. ETFA '99. 1999 7th IEEE International Conference on

Conference_Location

Barcelona

Print_ISBN

0-7803-5670-5

Type

conf

DOI

10.1109/ETFA.1999.813089

Filename

813089