Name
Abstract | ||
|---|---|---|
It is important for having the initiative in competition to infer the rival's private information accurately. In this paper, the rival's decision-making model is described by influence diagrams. According to the criterion that rival is apt to gain the maximum expected utility in whole multi-steps decision rather than gain the maximum expected utility just in each of the decision steps, we infer rival's private information about cost and bankroll through observing rival's decision behaviors and using the Genetic Algorithm (GA). The experiment results show that our proposed method is both accurate and reasonable. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/NCM.2008.39 | NCM (1) |
Keywords | Field | DocType |
decision step,infer rival,maximum expected utility,influence diagram,genetic algorithm,experiment result,whole multi-steps decision,decision-making model,private information,private information inferring,decision behavior,gallium,influence diagrams,genetic algorithms,production,gain,game theory,behavioural sciences,genetics,expected utility | Evolution biology,Econometrics,Expected utility hypothesis,Computer science,Influence diagram,Game theory,Behavioural sciences,Artificial intelligence,Private information retrieval,Genetic algorithm,Machine learning,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lihua Zhou | 1 | 18 | 7.71 |
| Weiyi Liu | 2 | 85 | 16.30 |
| Yufeng Xu | 3 | 0 | 0.34 |
| Hongmei Chen | 4 | 34 | 5.17 |