Evolving Beharioral Strategies in Predators and Prey
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
Managing Web server performance with AutoTune agents
IBM Systems Journal
Emotion based adaptive reasoning for resource bounded agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Characterising agents' behaviours: selecting goal strategies based on attributes
CIA'06 Proceedings of the 10th international conference on Cooperative Information Agents
Collaborative agent tuning: performance enhancement on mobile devices
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World
Abstract mental descriptions for agent design
Intelligent Decision Technologies
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In this paper we discuss how to tune agents' behaviours by explicitly modifying a set of affective elements previously defined and included in the agents' architecture. By tuning, we mean influencing agents' world view, changing their preferences and even modify their beliefs about which goals are possible. The affective elements which we call attributes, such as urgency, insistence and intensity, are able to modify agents' priorities with regard to the resource consumption, to modify the evaluation of the implicit costs of action execution and even to change agents' view about their capabilities to execute an action. In a preliminary experimental evaluation made in a multiagent system environment, a modified predator-prey workbench, we show how the attributes are important elements while trying to improve predators' global efficiency.