From logic programming towards multi-agent systems
Annals of Mathematics and Artificial Intelligence
LUPS - A Language for Updating Logic Programs
LPNMR '99 Proceedings of the 5th International Conference on Logic Programming and Nonmonotonic Reasoning
Deliberative Normative Agents: Principles and Architecture
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
Towards Socially Sophisticated BDI Agents
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Be patient and tolerate imprecision: how autonomous agents can coordinate effectively
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Xsb: Extending prolog with tabled logic programming
Theory and Practice of Logic Programming - Prolog Systems
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We have studied the development of multi-agents that must collaborate within their working environment according to a set of norms. The agents used are defined and implemented in dynamic logic programming (DLP), using the LUPS knowledge updating system developed in XSB. The aim of this study is to experimentally find out how norms imposed on agents can lead to an acceptable and robust collective behavior. Such a normative generated behavior is more natural in an open environment where new agents may enter the world with expectation of social acceptance. The experiments carried out have shown where we have flaws in the initial definition of the norms. We have been able to learn how to modify the norms in order to improve the social behavior of the group of agents in the warehouse scenario.