0000000000993441
AUTHOR
Petro Verkhogliad
Using artificial intelligence techniques for strategy generation in the Commons game
Published version of a chapter in the book: Hybrid Artificial Intelligent Systems. Also available from the publisher on SpringerLink: http://dx.doi.org/10.1007/978-3-642-21219-2_7 In this paper, we consider the use of artificial intelligence techniques to aid in discovery of winning strategies for the Commons Game (CG). The game represents a common scenario in which multiple parties share the use of a self-replenishing resource. The resource deteriorates quickly if used indiscriminately. If used responsibly, however, the resource thrives. We consider the scenario one player uses hill climbing or particle swarm optimization to select the course of action, while the remaining N − 1 players us…
Potential AI Strategies to Solve the Commons Game: A Position Paper
Published version of an article from the book: Advances in Artificial Intelligence : 23rd Canadian Conference on Artificial Intelligence. The original publication is available at Springerlink. http://dx.doi.org/10.1007/978-3-642-13059-5_45 In this paper, we propose the use of hill climbing and particle swarm optimization to find strategies in order to play the Commons Game (CG). The game, which is a non-trivial N-person non-zero-sum game, presents a simple mechanism to formulate how different parties can use shared resources. If the parties cooperate, the resources are sustainable. However, the resources get depleted if used indiscriminately. We consider the case when a single player has to…