Multi-Agent Pursuit-Evasion Game Based on Organizational Architecture

Simple item page
dc.contributor.authorAbderrahim Siam
dc.date.accessioned2024-03-13T20:46:41Z
dc.date.available2024-03-13T20:46:41Z
dc.date.issued2019-03-01
dc.description.abstractMulti-agent coordination mechanisms are frequently used in pursuit-evasion games with the aim of enabling the coalitions of the pursuers and unifying their individual skills to deal with the complex tasks encountered. In this paper, we propose a coalition formation algorithm based on organizational principles and applied to the pursuit-evasion problem. In order to allow the alliances of the pursuers in different pursuit groups, we have used the concepts forming an organizational modeling framework known as YAMAM (Yet Another Multi Agent Model). Specifically, we have used the concepts Agent, Role, Task, and Skill, proposed in this model to develop a coalition formation algorithm to allow the optimal task sharing. To control the pursuers' path planning in the environment as well as their internal development during the pursuit, we have used a Reinforcement learning method (Q-learning). Computer simulations reflect the impact of the proposed techniques. ACM CCS (2012) Classification: Computing methodologies → Artificial intelligence → Distributed artificial intelligence → Multi-agent systems Theory of computation → Theory and algorithms for application domains → Algorithmic game theory and mechanism design → Convergence and learning in games
dc.identifier.urihttp://dspace.univ-khenchela.dz:4000/handle/123456789/4243
dc.language.isoen
dc.titleMulti-Agent Pursuit-Evasion Game Based on Organizational Architecture
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Multi-Agent Pursuit-Evasion Game (1).pdf
Size:
991.99 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
scientific publication