DocumentCode :
2828326
Title :
Determining successful negotiation strategies: an evolutionary approach
Author :
Matos, Noyda ; Sierra, Carles ; Jennings, Nick R.
Author_Institution :
Artificial Intelligence Res. Inst., Catalonia, Spain
fYear :
1998
fDate :
3-7 Jul 1998
Firstpage :
182
Lastpage :
189
Abstract :
To be successful in open, multi-agent environments, autonomous agents must be capable of adapting their negotiation strategies and tactics to their prevailing circumstances. To this end, we present an empirical study showing the relative success of different strategies against different types of opponent in different environments. In particular we adopt an evolutionary approach in which strategies and tactics correspond to the genetic material in a genetic algorithm. We conduct a series of experiments to determine the most successful strategies and to see how and when these strategies evolve depending on the context and negotiation stance of the agent´s opponent
Keywords :
cooperative systems; genetic algorithms; software agents; autonomous agents; evolutionary approach; genetic algorithm; open multi-agent environments; successful negotiation strategies determination; Artificial intelligence; Conducting materials; Councils; Educational institutions; Encoding; Genetic algorithms; Multiagent systems; Performance evaluation; Tail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multi Agent Systems, 1998. Proceedings. International Conference on
Conference_Location :
Paris
Print_ISBN :
0-8186-8500-X
Type :
conf
DOI :
10.1109/ICMAS.1998.699048
Filename :
699048
Link To Document :
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