A catalog of complexity classes
Handbook of theoretical computer science (vol. A)
Handbook of theoretical computer science (vol. B)
Choosing social laws for multi-agent systems: minimality and simplicity
Artificial Intelligence
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
On the logic of normative systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Coping with shame and sense of guilt: a Dynamic Logic Account
Autonomous Agents and Multi-Agent Systems
Assignment problem in requirements driven agent collaboration and its implementation
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Modeling in agent oriented internetware framework
Proceedings of the Second Asia-Pacific Symposium on Internetware
Open issues for normative multi-agent systems
AI Communications
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Although normative systems, or social laws, have proved to be a highly influential approach to coordination in multi-agent systems, the issue of compliance to such normative systems remains problematic. In all real systems, it is possible that some members of an agent population will not comply with the rules of a normative system, even if it is in their interests to do so. It is therefore important to consider the extent to which a normative system is robust, i.e., the extent to which it remains effective even if some agents do not comply with it. We formalise and investigate three different notions of robustness and related decision problems. We begin by considering sets of agents whose compliance is necessary and/or sufficient to guarantee the effectiveness of a normative system; we then consider quantitative approaches to robustness, where we try to identify the proportion of an agent population that must comply in order to ensure success, and finally, we consider a more general approach, where we characterise the compliance conditions required for success as a logical formula.