Name
Abstract | ||
|---|---|---|
Self-organisation provides a suitable paradigm for developing autonomic web-based applications, e.g., e-commerce. Towards this end, in this paper, a composite self-organisation mechanism in an agent network is proposed. Based on self-organisation principles, this mechanism enables agents to dynamically adapt relations with other agents, i.e., change the underlying network structure, to achieve efficient task allocation. The proposed mechanism integrates a trust model to assist agents in reasoning with whom to adapt relations and employs a multi-agent Q-learning algorithm for agents to learn how to adapt relations. Moreover, in this mechanism, it is considered that the agents are connected by weighted relations, instead of crisp relations. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-24434-6_19 | WISE |
Keywords | Field | DocType |
multi-agent q-learning algorithm,crisp relation,agent network,autonomic web-based application,composite self-organisation mechanism,self-organisation principle,suitable paradigm,efficient task allocation,underlying network structure,proposed mechanism | Computer science,Artificial intelligence,Self organisation,Network structure | Conference |
Volume | ISSN | Citations |
6997 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dayong Ye | 1 | 248 | 18.82 |
| Minjie Zhang | 2 | 255 | 30.01 |
| Quan Bai | 3 | 28 | 5.67 |