A Goal Model of Autonomous Agent Organization

Author

Huang, Zhigang ; Gao, Pengyi ; Sun, Min ; Jiang, Jingjing

Author_Institution

Coll. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

5

Abstract

When a task is received by an agent organization in multi-agent system (MAS), it should be partitioned into multiple subtasks which will be assigned to suitable agents to be pursued. A goal model of autonomous agent organization (GMAAO) is proposed in which a trigger mechanism of event is added to the traditional "AND/OR" task decomposition tree to deal with the event-driven feature of MAS, and the task decomposition method can reduce the task cost greatly. A case study shows that the creation of goal instances is triggered by event dynamically, and the task overhead can be reduced since the task decomposition path with lowest overhead can be chosen.

Keywords

multi-agent systems; AND-OR task decomposition tree; autonomous agent organization; goal model; multiagent system; task decomposition method; Algorithm design and analysis; Autonomous agents; Computer networks; Computer science; Costs; Heuristic algorithms; Intelligent agent; Multiagent systems; Problem-solving;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5365896

Filename

5365896