Artificial emotional intelligence under ethical constraints in formulating social agent behaviour

Social agent simulations are typically highly dynamic and complex multi-agent based models. Different methodologies exist to enable computer models to accomplish agent collaboration. Reputation models emerge as promising methods to control the communication framework between social agents. In this study we evaluate the social behaviour of agents guided by simulated awareness of self and others, where ethical constraints, stress avoidance and emotional interference play a role in the decision making process. A multi-agent based graph colouring model is formulated and extended to enable the social paradigm. Experiments using standard sets present an application neutral platform in order to study the effects of conscience decision making of the social agents on problem convergence when solving the graph colouring problem.