An Architecture for Autonomous Normative BDI Agents based on Personality Traits to Solve Normative Conflicts

摘要

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 the 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.