A collective view and methodologies for software agents´ interaction

Author

Far, Behrouz Homayoun

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada

Volume

3

fYear

2004

Firstpage

1249

Abstract

Software agents´ interactions are of special importance when a group of agents interact with each other to solve a problem that is beyond the capability and knowledge of each individual. Efficiency, performance and the overall quality of multi-agent applications depend mainly on how the agents interact with each other. We present an agent model by which we can distinguish different agent´s interaction scenarios. The model has five attributes: goal; control; interface; identity; knowledge base. Using the model, we analyze and describe possible scenarios. Then, for each scenario, appropriate reasoning and decision-making techniques are devised. The model can readily be used in the design and implementation of multi-agent systems.

Keywords

decision making; inference mechanisms; multi-agent systems; problem solving; software agents; agent model; control; decision-making techniques; goal; identity; interface; knowledge base; multi-agent systems; reasoning techniques; software agent interactions; Application software; Decision making; Design engineering; Drives; Fault tolerant systems; Libraries; Multiagent systems; Object oriented modeling; Software agents; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2004. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-8253-6

Type

conf

DOI

10.1109/CCECE.2004.1349623

Filename

1349623