DocumentCode :
2442395
Title :
Utilizing BDI Features for Transactional Agent Execution
Author :
Wang, Mingzhong ; Ramamohanarao, Kotagiri ; Unruh, Amy
Author_Institution :
Univ. of Melbourne, Melbourne
fYear :
2007
fDate :
2-5 Nov. 2007
Firstpage :
215
Lastpage :
221
Abstract :
Replanning, which discards all alternatives found in previous execution, and step-by-step backtracking, which iterates back through all previous selection decisions, are two extreme ends of exception handling in agent systems. We describe a new "jump" approach to maintaining a tradeoff between them. Choice points, which are maintained in a stack, are introduced to record all plans found by the agent\´s planning procedures. By iterating on the stack, and reasoning about plan characteristics, an agent can find and launch a suitable plan prior to or in parallel with a compensation process for the failed path, thus achieving its goals efficiently in the presence of exceptions. Our approach combines and utilizes several beneficial features of a BDI agent, such as its data structure and deliberation cycle, together with an open nested transaction system which supports architectural-level concurrency control and distribution management.
Keywords :
concurrency control; data structures; exception handling; planning (artificial intelligence); software agents; transaction processing; BDI feature; agent planning; agent system exception handling; architectural-level concurrency control; belief-desire-intention model; data structure; distribution management; transactional agent execution; Australia; Computer science; Concurrency control; Data structures; Intelligent agent; Power system management; Power system reliability; Robustness; Software engineering; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Agent Technology, 2007. IAT '07. IEEE/WIC/ACM International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3027-7
Type :
conf
DOI :
10.1109/IAT.2007.62
Filename :
4407285
Link To Document :
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