ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Graded BDI models for agent architectures
CLIMA'04 Proceedings of the 5th international conference on Computational Logic in Multi-Agent Systems
Normative reasoning with an adaptive self-interested agent model based on Markov decision processes
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Rational strategies for norm compliance in the n-BDI proposal
COIN@AAMAS'10 Proceedings of the 6th international conference on Coordination, organizations, institutions, and norms in agent systems
Reasoning about norms within uncertain environments
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Open issues for normative multi-agent systems
AI Communications
MaNEA: A distributed architecture for enforcing norms in open MAS
Engineering Applications of Artificial Intelligence
Using norms to control open multi-agent systems
AI Communications
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Norms, to become effective, must be recognised as norms by agents. These agents must be able to accept norms but maintaining their autonomy. In this paper, the multi-context BDI agent architecture has been extended with a recognition and a normative context in order to allow agents to acquire norms from their environment and consider norms in their decision making processes.