Self Organizing Map-Based Strategic Placement and Task Assignment for a Multi-agent System

Author(s):  
Mukund Subhash Ghole ◽  
Arabinda Ghosh ◽  
Arindam Singha ◽  
Chinmay Das ◽  
Anjan Kumar Ray
2021 ◽  
pp. 1-1
Author(s):  
Badr Al Faiya ◽  
Dimitrios Athanasiadis ◽  
Minjiang Chen ◽  
Stephen McArthur ◽  
Ivana Kockar ◽  
...  

Author(s):  
Antonio González-Pardo ◽  
Pablo Varona ◽  
David Camacho ◽  
Francisco de Borja Rodriguez Ortiz

2014 ◽  
Vol 24 (3) ◽  
pp. 351-373
Author(s):  
Krzysztof Skrzypczyk ◽  
Martin Mellado

Abstract This paper addresses the problem of resource division for robotic agents in the framework of Multi-Agent System. Knowledge of the environment represented in the system is uncertain, incomplete and distributed among the individual agents that have both limited sensing and communication abilities. The pick-up-and-collection problem is considered in order to illustrate the idea presented. In this paper a framework for cooperative task assignment to individual agents is discussed. The process of negotiating access to common resources by intercommunicating agents is modeled and solved as a game against Nature. The working of the proposed system was verified by multiple simulations. Selected, exemplary simulations are presented in the paper to illustrate the approach discussed


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