Extending a BDI agents' architecture with open emotional components

Abstract

Recently an increasing amount of research focuses on improving agents believability by adding affective features to its traditional modeling. This is probably due to the demands of reaching ever more realistic behaviors on agents simulations which extends to several and diverse applications fields. The present work proposes O3A: an Open Affective Agent Architecture, which extends a traditional BDI agent architecture improving a practical reasoning with more “human” characteristics. This architecture tries to address disperse definitions combining the main elements of supporting psychological and neurological theories.