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Adversarial reasoning : computational approaches to reading the opponent's mind
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Adversarial reasoning : computational approaches to reading the opponent's mind

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About the authors
1.1. Adversarial models for opponent intent inferencing / Eugene Santos Jr. and Qunhua Zhao
1.2. Human factors in opponent intent / Paul E. Nielsen, Jacob Crossman, and Randolph M. Jones
1.3. Extrapolation of the opponent's past behaviors / Sven A. Brueckner and H. Van Dyke Parunak
1.4. Plan recognition / Christopher Geib
2.1. Detecting deception / Christopher Elsaesser and Frank J. Stech
2.2. Deception as a semantic attack / Paul Thompson
2.3. Application and value of deception / Joao Pedro Hespanha
2.4. Robustness against deception / William M. McEneaney and Rajdeep Singh
3.1. The role of imperfect information / Austin Parker, Dana Nau, and V. S. Subrahmanian
3.2. Handling partial and corrupted information / Ashitosh Swarup and Jason L. Speyer
3.3. Strategies in large-scale problems / Boris Stilman, Vladimir Yakhnis, and Oleg Umanskiy
3.4 Learning to strategize / Gregory Calbert
3.5. Learning from and about the opponent / Pu Huang and Katia Sycara.

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Adversarial reasoning : computational approaches to reading the opponent's mind. ISBN 9781584885887. Published by Chapman & Hall/CRC in 2007. Publication and catalogue information, links to buy online and reader comments.

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