Artificial Intelligence
A logical approach to the dynamics of commitments
Artificial Intelligence
Revising Nonmonotonic Theories: The Case of Defeasible Logic
KI '99 Proceedings of the 23rd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Fulfilling or Violating Obligations in Normative Multiagent Systems
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Introduction to the special issue on normative multiagent systems
Autonomous Agents and Multi-Agent Systems
BIO logical agents: Norms, beliefs, intentions in defeasible logic
Autonomous Agents and Multi-Agent Systems
How Do Agents Comply with Norms?
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A conceptually rich model of business process compliance
APCCM '10 Proceedings of the Seventh Asia-Pacific Conference on Conceptual Modelling - Volume 110
Superiority based revision of defeasible theories
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
Rule-based agents, compliance, and intention reconsideration in defeasible logic
RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
Programming cognitive agents in defeasible logic
LPAR'05 Proceedings of the 12th international conference on Logic for Programming, Artificial Intelligence, and Reasoning
Rule-based agents, compliance, and intention reconsideration in defeasible logic
RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
Compliance checking of integrated business processes
Data & Knowledge Engineering
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This paper shows how belief revision techniques can be used in Defeasible Logic to change rule-based theories characterizing the deliberation process of cognitive agents. We discuss intention reconsideration as a strategy to make agents compliant with the norms regulating their behavior.