A Kernel-Oriented Model for Coalition-Formation in General Environments: Implementation and Results
Abstract
In this paper we present a model for coalition formation and payoff distribution in general environments. We focus on a reduced complexity kernel-oriented coalition formation model, and provide a detailed algorithm for the activity of the single rational agent. The model is partitioned into a social level and a strategic level, to distinguish between regulations that must be agreed upon and are forced by agent-designers, and strategies by which each agent acts at will. In addition, we present an implementation of the model and simulation results. From these we conclude that implementing the model for coalition formation among agents increases the benefits of the agents with reasonable time consumption. It also shows that more coalition formations yield more benefits to the agents. Introduction An important method for cooperation in multi-agent environments is coalition formation. Membership in a coalition may increase the agent's ability to satisfy its goals and maximize its own pers...
Cite
Text
Shehory and Kraus. "A Kernel-Oriented Model for Coalition-Formation in General Environments: Implementation and Results." AAAI Conference on Artificial Intelligence, 1996.Markdown
[Shehory and Kraus. "A Kernel-Oriented Model for Coalition-Formation in General Environments: Implementation and Results." AAAI Conference on Artificial Intelligence, 1996.](https://mlanthology.org/aaai/1996/shehory1996aaai-kernel/)BibTeX
@inproceedings{shehory1996aaai-kernel,
title = {{A Kernel-Oriented Model for Coalition-Formation in General Environments: Implementation and Results}},
author = {Shehory, Onn and Kraus, Sarit},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1996},
pages = {134-140},
url = {https://mlanthology.org/aaai/1996/shehory1996aaai-kernel/}
}