Authors:
Paulo Henrique Cardoso Alves
;
Marx Leles Viana
and
Carlos José Pereira de Lucena
Affiliation:
Pontifical Catholic University of Rio de Janeiro - PUC, Brazil
Keyword(s):
Solving Normative Conflicts, Normative Agents, Multiagent Systems, Personality Traits.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
Norms are promising mechanisms of social control to ensure a desirable social order in open multiagent
systems. Normative multiagent systems offer the ability to integrate social and individual factors to provide
increased levels of fidelity with respect to modelling social phenomena such as cooperation; coordination;
decision-making process, and organization in artificial agent systems. However, norms eventually can be
conflicting — for example, when there is a norm that prohibits an agent to perform a particular action and
another norm that obligates the same agent to perform the same action, the agent is not able to fulfill both
norms at the same time. The agent’s decision about which norms to fulfill can be defined based on rewards,
punishments and agent’s goals. Sometimes, the analysis between these attributes will not be enough to allow
the agent to make the best decision. This paper introduces an architecture that considers the agent’s personality
traits in order to improve th
e normative conflict solving process. In addition, the agent can execute different
behaviors with equal environment variables, just by changing its own internal characteristics. The
applicability and validation of our approach are demonstrated by an experiment that reinforces the importance
of the society’s norms.
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