Learning automata: an introduction
Learning automata: an introduction
Artificial Life
Stigmergy, self-organization, and sorting in collective robotics
Artificial Life
Future Generation Computer Systems
Multi-agent coordination and control using stigmergy applied to manufacturing control
Mutli-agents systems and applications
Ant Colony Optimization
A Pheromone-Based Utility Model for Collaborative Foraging
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Networks of Learning Automata: Techniques for Online Stochastic Optimization
Networks of Learning Automata: Techniques for Online Stochastic Optimization
Learning automata as a basis for multi agent reinforcement learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Speeding up learning automata based multi agent systems using the concepts of stigmergy and entropy
Expert Systems with Applications: An International Journal
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Stigmergy describes a class of mechanisms that mediate animal to animal interaction through the environment. Recently this concept has proved interesting for use in multi-agent systems, as it provides a simple framework for agent interaction and coordination. However, determining the global system behavior that will arise from local stigmergetic interactions is a complex problem. In this paper stigmergetic mechanisms are modeled using simple reinforcement learners, called learning automata. We show that using automata to model stigmergy, the learning problem can be asymptotically approximated by an automata game. Existing convergence results for automata games enables us to understand these stigmergetic methods and predict their global behavior. A simple multi-pheromone example is described and analyzed through its corresponding automata game.