BYTE - Lecture notes in computer science Vol. 174
KQML as an agent communication language
Software agents
Verifying Compliance with Commitment Protocols
Autonomous Agents and Multi-Agent Systems
Formalizing a Language for Institutions and Norms
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Coordination Artifacts: Environment-Based Coordination for Intelligent Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Modelling flexible social commitments and their enforcement
ESAW'04 Proceedings of the 5th international conference on Engineering Societies in the Agents World
Modelling and Monitoring Social Expectations in Multi-agent Systems
Coordination, Organizations, Institutions, and Norms in Agent Systems II
| Hi-index | 0.00 |
An open system should admit agents from many sources and these agents may have conflicting goals. Therefore, some actions that an agent would like to perform could be detrimental to other agents. Such actions can be either acceptable or unacceptable within a given system. Social norms define what actions are acceptable and unacceptable within a given society. There should be a way to limit the actions of agents to enforce these social norms. One way to begin to accomplish this goal is to have the system observe the actions of agents to model their behaviour. Behaviours that do not conform to specified norms could then be detected, and some action could be taken to prevent agents from performing further actions that violate social norms.In this paper we discuss the use of social commitments to allow a system to define social norms and detect violations of those norms. Social commitments model an agent's commitments within a society. Some are implied while others are explicitly stated. Our system uses social commitments to define social norms. This paper focusses on the practical requirements that must be met for a system to implement social commitments as a way of defining social norms and detecting violations of those norms. In addition, we give an overview of how our multi-agent system design supports this goal.