Verification of Multi-agent Systems Via Bounded Model Checking
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| 40254.pdf | 151Kb | Adobe PDF | View |
| Title | Verification of Multi-agent Systems Via Bounded Model Checking |
|---|---|
| Author | Luo, Xiangyu; Su, Kaile; Sattar, Abdul; Reynolds, Mark |
| Publication Title | AI 2006: Advances in Artificial Intelligence |
| Editor | Abdul Sattar and Byeong-Ho Kang |
| Year Published | 2006 |
| Place of publication | Berlin |
| Publisher | Springer |
| Abstract | We present a bounded model checking (BMC) approach to the verification of temporal epistemic properties of multi-agent systems. We extend the temporal logic CTL* by incorporating epistemic modalities and obtain a temporal epistemic logic that we call CTL*K. CTL*K logic is interpreted under the semantics of synchronous interpreted systems. Though CTL*K is of great expressive power in both temporal and epistemic dimensions, we show that BMC method is still applicable for the universal fragment of CTL*K. We present in some detail a BMC algorithm and prove its correctness. In our approach, agents' knowledge interpreted in synchronous semantics can be skilfully attained by the state position function, which avoids extending the encoding of the states and the transition relations of the plain temporal epistemic model for time domain. |
| Peer Reviewed | Yes |
| Published | Yes |
| Publisher URI | http://www.springer.com/east/home?SGWID=5-102-22-173705727-0&changeHeader=true |
| Copyright Statement | Copyright 2006 Springer : Reproduced in accordance with the copyright policy of the publisher : The original publication will be available at SpringerLink (use hypertext links) |
| ISBN | 3-540-49787-0 |
| Conference name | 19th Australian Joint Conference on Artificial Intelligence |
| Location | Hobart |
| Date From | 2006-12-04 |
| Date To | 2006-12-08 |
| URI | http://hdl.handle.net/10072/11925 |
| Date Accessioned | 2007-03-02 |
| Date Available | 2007-08-06T02:25:55Z |
| Language | en_AU |
| Research Centre | Institute for Integrated and Intelligent Systems |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | Other Artificial Intelligence |
| Publication Type | Conference Publications (Full Written Paper - Refereed) |
| Publication Type Code | e1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/11925
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