Abstract
This paper presents MADeM, a multi-modal agent decision making to
provide virtual agents with socially acceptable decisions. We consider
multi-modal decisions as those that are able to merge multiple information
sources received from a MAS. MADeM performs social decisions since
it relies on auctions, a well known market-based coordination mechanism.
Our social agents express their preferences for the different solutions
considered for a specific decision problem, using utility functions.
Therefore, coordinated social behaviors such as task passing or planned
meetings can be evaluated to finally obtain socially acceptable behaviors.
Additionally, MADeM is able to simulate different kinds of societies
(e.g. elitist, utilitarian, etc), as well as social attitudes of
their members such as, egoism, altruism, indifference or reciprocity.
MADeM agents have been successfully verified in a 3D dynamic environment
while simulating a virtual university bar, where different types
of waiters (eg. coordinated, social, egalitarian) and customers (e.g.
social, lazy) interact to finally animate complex social scenes.
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