From Tom Thumb to the Dockers: some experiments with foraging robots
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Entropy and self-organization in multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
An Behavior-based Robotics
Self-Organization in Biological Systems
Self-Organization in Biological Systems
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Vision based localisation for a mobile robot
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Developing multiagent systems: The Gaia methodology
ACM Transactions on Software Engineering and Methodology (TOSEM)
A Reactive Multi-Agent System for Localisation and Tracking in Mobile Robotics
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Programming stigmergic coordination with the TOTA middleware
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Construction of numerical potential fields with reactive agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Prometheus: a methodology for developing intelligent agents
AOSE'02 Proceedings of the 3rd international conference on Agent-oriented software engineering III
ADELFE: a methodology for adaptive multi-agent systems engineering
ESAW'02 Proceedings of the 3rd international conference on Engineering societies in the agents world III
Environments for multiagent systems state-of-the-art and research challenges
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
Digital pheromones for coordination of unmanned vehicles
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
Motion coordination in the quake 3 arena environment: a field-based approach
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
A reactive agent-based problem-solving model: Application to localization and tracking
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Agent-environment interaction in a multi-agent system: a formal model
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Environment in agent-oriented software engineering methodologies
Multiagent and Grid Systems - Engineering Environments in Multiagent Systems
Self-Organizing Multiagent Approach to Optimization in Positioning Problems
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Designing self-organising MAS environments: the collective sort case
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Agent-Systems and Formal Languages
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
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Even if the multi-agent paradigm has been evolving for fifteen years, the development of concrete methods for problem solving remains a major challenge. This paper focuses on reactive multi-agent systems because they provide interesting properties such as adaptability and robustness. In particular, the role of the environment, which is effectively where the system computes and communicates, is studied. From this analysis a methodology to design or engineer reactive systems is introduced. Our approach is based on the representation of the problem's constraints considered as perturbations to stabilize. Agents are then defined, in the second place, as a means of regulating the perturbations. Finally, the relevancy of our proposition is justified through the development of two solving models applied to real and complex problems.