DocumentCode
2563654
Title
Decomposability of global tasks for multi-agent systems
Author
Karimadini, Mohammad ; Lin, Hai
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear
2010
fDate
15-17 Dec. 2010
Firstpage
4192
Lastpage
4197
Abstract
Multi-agent system is a rapidly developing research area with strong support from both civilian and military applications. One of the essential problems in multi-agent system research is how to design local interaction rules and coordination principles among agents such that the whole system achieves desired global behaviors. To tackle this problem, a divide-and-conquer approach was proposed in, and the basic idea is to decompose the requested global specification into subtasks for individual agents in such a way that the fulfillment of these subtasks by each individual agent should lead to the satisfaction of the global specification. Then, the design reduces to achieving the assigned subtasks for corresponding individual agents. In, it was shown that not all global tasks can be decomposed, and a necessary and sufficient condition on the decomposability of a task automaton between two agents was presented. For more than two agents, we then proposed a hierarchical algorithm as a sufficient condition for decomposability. This paper aims to extend the necessary and sufficient decomposability conditions for any arbitrary finite number of cooperative agents. A new necessary and sufficient condition on decomposability of a task automaton is proposed, here. Several examples are provided to illustrate the decomposition scheme and conditions.
Keywords
automata theory; divide and conquer methods; multi-robot systems; cooperative agent; coordination principle; divide and conquer approach; global task decomposability; hierarchical algorithm; interaction rule; multi-agent system; task automaton; Automata; Control systems; Diamond-like carbon; Law; Merging; Multiagent systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location
Atlanta, GA
ISSN
0743-1546
Print_ISBN
978-1-4244-7745-6
Type
conf
DOI
10.1109/CDC.2010.5716943
Filename
5716943
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