Norms have been employed as a coordination mechanism for Open MAS, but to become effective, they must be internalized by agents; i.e. these agents must be able to accept norms while maintaining their autonomy. Nevertheless, traditional BDI agent architectures only represent beliefs, intentions and desires. In this paper, the multi-context BDI agent architecture has been extended with a recognition context and a normative context in order to allow agents to acquire norms from their environment and consider norms in their decisions.
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