Publication Date:
2011
abstract:
A set of software agents can be programmed to provide a large but finite set of services, often defined during
design phase. After an evolution of the external environment, the pre-defined services could be unable to
satisfy the requested quality. In this work it is proposed an agent framework capable to adapt the agents in
order to improve the quality of services provided by an agent society in correspondence with a modification
of the external environment. These agents are based on a biologically inspired structure (genome), that de-
fines all their behaviors and knowledges. The effectiveness of the approach is proved by a set of successful
experimental results
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Agent Models and Architectures; Multi-Agent Systems; Adaptation
List of contributors:
Rizzo, Riccardo; Cossentino, Massimo
Book title:
ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence