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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mehrabi, A. Haghighat, A.T. |
| Copyright Year | 2009 |
| Abstract | One of the weaknesses and drawbacks of a computer compared to a human being is the creativity and intelligence of a human being in encountering with different problems and his power of deduction and reasoning. Therefore computer engineers have been trying to make computers more intelligent and inferential and reasonable in encountering with different problems. Thus in this article we have tried to increase the intelligence and deduction of a computer when playing a poker game. In this article a method is proposed based on the association rule mining which enables the computer to sense thoughts in a poker player's mind and guess his hand by observing his moves. According to the evaluation and a confidence of 78.6%, the rules in a poker player's mind were proven to be guessed correctly by the computer. |
| Starting Page | 189 |
| Ending Page | 193 |
| File Size | 363201 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769538921 |
| DOI | 10.1109/ICCTD.2009.117 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-13 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power engineering computing Uncertainty Association rule mining Computational modeling Decision making Humans Poker game Data engineering Association rules Data mining Game theory Power engineering and energy |
| Content Type | Text |
| Resource Type | Article |
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