Constrained Coalition Formation among Heterogeneous Agents for the Multi-Agent Programming Contest

A multi-agent system for the support of producer coalition formation in electricity markets

Proceedings of the 2008 ACM symposium on Applied computing - SAC '08 ◽

10.1145/1363686.1363708 ◽

2008 ◽

Cited By ~ 1

Author(s):

Isabel Praça ◽

André Andrade ◽

Hugo Morais ◽

Marílio Cardoso ◽

Carlos Ramos ◽

...

Keyword(s):

Electricity Markets ◽

Coalition Formation ◽

Multi Agent System ◽

Agent System ◽

Multi Agent

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A multi-responsibility–oriented coalition formation framework for dynamic task allocation in mobile–distributed multi-agent systems

International Journal of Advanced Robotic Systems ◽

10.1177/1729881418813037 ◽

2018 ◽

Vol 15 (6) ◽

pp. 172988141881303 ◽

Cited By ~ 1

Author(s):

Bing Xie ◽

Xueqiang Gu ◽

Jing Chen ◽

LinCheng Shen

Keyword(s):

Coalition Formation ◽

Task Allocation ◽

Game Model ◽

Multi Agent Systems ◽

Coalition Game ◽

Task Execution ◽

Agent Systems ◽

Dynamic Task ◽

Dynamic Task Allocation ◽

Multi Agent

In this article, we study a problem of dynamic task allocation with multiple agent responsibilities in distributed multi-agent systems. Agents in the research have two responsibilities, communication and task execution. Movements in agent task execution bring changes to the system network structure, which will affect the communication. Thus, agents need to be autonomous on communication network reconstruction for good performance on task execution. First, we analyze the relationships between the two responsibilities of agents. Then, we design a multi-responsibility–oriented coalition formation framework for dynamic task allocation with two parts, namely, task execution and self-adaptation communication. For the former part, we integrate our formerly proposed algorithm in the framework for task execution coalition formation. For the latter part, we develop a constrained Bayesian overlapping coalition game model to formulate the communication network. A task-allocation efficiency–oriented communication coalition utility function is defined to optimize a coalition structure for the constrained Bayesian overlapping coalition game model. Considering the geographical location dependence between the two responsibilities, we define constrained agent strategies to map agent strategies to potential location choices. Based on the abovementioned design, we propose a distributed location pruning self-adaptive algorithm for the constrained Bayesian overlapping coalition formation. Finally, we test the performance of our framework, multi-responsibility–oriented coalition formation framework, with simulation experiments. Experimental results demonstrate that the multi-responsibility oriented coalition formation framework performs better than the other two distributed algorithms on task completion rate (by over 9.4% and over 65% on average, respectively).

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