Title :
Research of task decomposition based on multi-agent cooperation
Author :
Jiang Chunfeng ; Zhao Yulan
Author_Institution :
Sch. of Inf. Eng., Jilin Agric. Sci. & Technol. Coll., Jilin, China
Abstract :
In MAS, the mutual cooperation must be between agents to complete complex tasks in dynamic environment. The paper analyzed the principle of task decomposition based on multi-agent cooperation. An algorithm for task decomposition was proposed, which combined AOT and heuristic algorithm, and its process was described in detail. The simulated results proved it was efforts to strengthen mutual cooperation between multiple agents and to improve the efficiency of task completion.
Keywords :
multi-agent systems; task analysis; AOT; MAS; complex task completion; heuristic algorithm; multiagent cooperation; task decomposition research; Algorithm design and analysis; Atmospheric modeling; Collaboration; Educational institutions; Heuristic algorithms; Multiagent systems; Resource management; AOT; MAS; segmentation point; task decomposition;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023482
