Reputation in Artificial Societies: Social Beliefs for Social Order
Reputation in Artificial Societies: Social Beliefs for Social Order
On the Formal Specifications of Electronic Institutions
Agent Mediated Electronic Commerce, The European AgentLink Perspective.
Norm adoption in the NoA agent architecture
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Towards Socially Sophisticated BDI Agents
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Autonomous Agents and Multi-Agent Systems
Organising MAS: a formal model based on organisational mechanisms
Proceedings of the 2009 ACM symposium on Applied Computing
Norm-based behaviour modification in BDI agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Pragmatic-strategic reputation-based decisions in BDI agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Extending the BDI architecture with commitments
Proceedings of the 2006 conference on Artificial Intelligence Research and Development
Web Intelligence and Agent Systems
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Open multiagent systems are systems populated with autonomous agents whose intentions are unknown. Due to this uncertainty, reputation mechanisms arise as a key technology when designing such systems. These mechanisms endow agents with the capability to reason about the behaviour of their potential partners regarding certain criteria, for instance, a particular norm. Although normative systems have been deeply studied, few attention has been paid on how agents use the norms to reason about the behaviour of their partners. In this paper, we face this problem by extending a BDI architecture that incorporates a reputation model (BDI+Repage) with a normative layer. Using the reputation mechanism together with this normative layer allow the agents to evaluate the behaviour of their partners according to both organisational and individual norms and use such information to reason about their future interactions.