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| Content Provider | ACM Digital Library |
|---|---|
| Author | Soh, Leen-Kiat Tsatsoulis, Costas |
| Abstract | In a multiagent system where each agent has only an incomplete view of the world, optimal coalition formation is difficult. Coupling that with real-time and resource constraints often makes the rationalization process infeasible or costly. We propose a coalition formation approach that identifies and builds sub-optimal yet satisficing coalitions among agents to solve a problem detected in the environment. All agents are peers and autonomous. Each is motivated to conserve its own resources while cooperating with other agents to achieve a global task or resource allocation goal. The (initiating) agent-that detects a problem-hastily forms an initial coalition by selecting neighboring agents that it considers to have high potential utilities, based on the capability of each neighbor and its respective inter-agent relationships. The initiating agent next finalizes the coalition via multiple concurrent 1-to-1 negotiations with only neighbors of high potential utility, during which constraints and commitments are exchanged in an argumentation setting. |
| Starting Page | 1062 |
| Ending Page | 1063 |
| Page Count | 2 |
| File Format | |
| ISBN | 1581134800 |
| DOI | 10.1145/545056.545071 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2002-07-15 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Negotiation Multiagent system Utility theory Case-based reasoning Coalition formation |
| Content Type | Text |
| Resource Type | Article |
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