Title :
Reasoning structures for multi-agent meta-programming
Author_Institution :
Univ. Paris Dauphine, France
Abstract :
Meta-programming a multi-agent system is a complex task due to the fact that as the agents build their strategies the environment changes. We propose a method and a language for multi-agent meta-programming based on explanation based learning and we unify these ideas under a formal framework. As an example, we report our experience of use of our meta-programming method on the example of predators for meta-programming multi-agent systems
Keywords :
dynamic programming; explanation; inference mechanisms; learning (artificial intelligence); multi-agent systems; explanation based learning; formal framework; multi-agent meta-programming; predators; reasoning structures; Algebra; Concrete; Concurrent computing; Costs; Dynamic programming; Learning systems; Multiagent systems; Problem-solving;
Conference_Titel :
Intelligent Control/Intelligent Systems and Semiotics, 1999. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-5665-9
DOI :
10.1109/ISIC.1999.796668
