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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhengyuan Ning Xianwei Lai Shanli Hu Qingqing Zhan |
| Copyright Year | 2007 |
| Description | Author affiliation: Fujian Agric. & Forestry Univ., Fuzhou (Zhengyuan Ning; Xianwei Lai) |
| Abstract | The paradigm example of social interaction is cooperative problem solving, in which a group of autonomous agents choose to work together to achieve a common goal. In order to improve existing work on developing formal computing model for cooperative problem solving in multi-agent systems, several efforts are made in this paper. Firstly, a new multi-agent cooperation logic called ATI-BDI designed in our previous work is enhanced so as to make it more suitable for modeling cooperative problem solving. Secondly, basing on ATI-BDI, the cooperative problem solving process is formally described. The corresponding new computing models of cooperation recognition, team formation, plan formation and execution are developed. The iteration of these steps is also well considered. Several important properties are gained and proved finally. |
| Starting Page | 205 |
| Ending Page | 210 |
| File Size | 418015 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769529097 |
| DOI | 10.1109/SNPD.2007.525 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multiagent systems Protocols Logic design Autonomous agents Computer networks Problem-solving Artificial intelligence Distributed computing Contracts Software engineering |
| Content Type | Text |
| Resource Type | Article |
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