DocumentCode :
3103012
Title :
A Logging-Based Approach for Building More Robust Multi-agent Systems
Author :
Unruh, Amy ; Bailey, James ; Ramamohanarao, Kotagiri
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Univ. of Melbourne, Melbourne, VIC
fYear :
2006
fDate :
18-22 Dec. 2006
Firstpage :
342
Lastpage :
349
Abstract :
In an agent system, the ability to handle problems and recover from them is important in sustaining stability and providing robustness. We claim that execution logging is essential to support agent system robustness, and that agents should have architectural-level support for logging and recovery methods. We describe an infrastructure-level, default methodology for agent problem-handling, based on logging, and supported by declaratively encoding domain-specific knowledge related to changes in goal status and semantic compensations. Via logging, the approach allows repair of already-completed as well as current goals. We define a language, APLR, to support and constrain incremental specification of problem-handling information, with the agents´ problem-handling behaviour increasing in so phistication as more knowledge is added to the system. The approach is implemented by mapping the methodology and domain knowledge to 3APL-like plan rules extended to support logging.
Keywords :
multi-agent systems; software agents; APLR language; agent programming language; domain-specific knowledge; logging-based approach; problem-handling behaviour; robust multi-agent system; Australia; Computer science; Encoding; History; Hospitals; Multiagent systems; Robots; Robust stability; Robustness; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Agent Technology, 2006. IAT '06. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2748-5
Type :
conf
DOI :
10.1109/IAT.2006.12
Filename :
4052941
Link To Document :
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