Journal articles on the topic 'Opponent model'
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Davies, Ian, Zheng Tian, and Jun Wang. "Learning to Model Opponent Learning (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (April 3, 2020): 13771–72. http://dx.doi.org/10.1609/aaai.v34i10.7157.
Shen, Macheng, and Jonathan P. How. "Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning." Proceedings of the International Conference on Automated Planning and Scheduling 31 (May 17, 2021): 578–87. http://dx.doi.org/10.1609/icaps.v31i1.16006.
Li, Junkang, Bruno Zanuttini, and Véronique Ventos. "Opponent-Model Search in Games with Incomplete Information." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 9 (March 24, 2024): 9840–47. http://dx.doi.org/10.1609/aaai.v38i9.28844.
Otto, Jacob, and William Spaniel. "Doubling Down: The Danger of Disclosing Secret Action." International Studies Quarterly 65, no. 2 (November 19, 2020): 500–511. http://dx.doi.org/10.1093/isq/sqaa081.
Wang, Yu, Ke Fu, Hao Chen, Quan Liu, Jian Huang, and Zhongjie Zhang. "Efficiently Detecting Non-Stationary Opponents: A Bayesian Policy Reuse Approach under Partial Observability." Applied Sciences 12, no. 14 (July 8, 2022): 6953. http://dx.doi.org/10.3390/app12146953.
Liu, Chanjuan, Jinmiao Cong, Tianhao Zhao, and Enqiang Zhu. "Improving Agent Decision Payoffs via a New Framework of Opponent Modeling." Mathematics 11, no. 14 (July 11, 2023): 3062. http://dx.doi.org/10.3390/math11143062.
Donkers, H. "Probabilistic opponent-model search." Information Sciences 135, no. 3-4 (July 2001): 123–49. http://dx.doi.org/10.1016/s0020-0255(01)00133-5.
Redden, Ralph S., Greg A. Gagliardi, Chad C. Williams, Cameron D. Hassall, and Olave E. Krigolson. "Champ versus Chump: Viewing an Opponent’s Face Engages Attention but Not Reward Systems." Games 12, no. 3 (July 31, 2021): 62. http://dx.doi.org/10.3390/g12030062.
Donkers, H. "Admissibility in opponent-model search." Information Sciences 154, no. 3-4 (September 2003): 119–40. http://dx.doi.org/10.1016/s0020-0255(03)00046-x.
Park, Hyunsoo, and Kyung-Joong Kim. "Active Player Modeling in the Iterated Prisoner’s Dilemma." Computational Intelligence and Neuroscience 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/7420984.
Iida, Hiroyuki, Jos W. H. M. Uiterwijk, H. J. van den Herik, and I. S. Herschberg. "Potential Applications of Opponent-Model Search1." ICGA Journal 16, no. 4 (December 1, 1993): 201–8. http://dx.doi.org/10.3233/icg-1993-16403.
Iida, Hiroyuki, Jos W. H. M. Uiterwijk, H. J. van den Herik, and I. S. Herschberg. "Potential Applications of Opponent-Model Search1." ICGA Journal 17, no. 1 (March 1, 1994): 10–14. http://dx.doi.org/10.3233/icg-1994-17103.
Koob, George F., S. Barak Caine, Loren Parsons, Athina Markou, and Friedbert Weiss. "Opponent Process Model and Psychostimulant Addiction." Pharmacology Biochemistry and Behavior 57, no. 3 (July 1997): 513–21. http://dx.doi.org/10.1016/s0091-3057(96)00438-8.
Luo, Junren, Wanpeng Zhang, Wei Gao, Zhiyong Liao, Xiang Ji, and Xueqiang Gu. "Opponent-Aware Planning with Admissible Privacy Preserving for UGV Security Patrol under Contested Environment." Electronics 9, no. 1 (December 18, 2019): 5. http://dx.doi.org/10.3390/electronics9010005.
Kovach, Nicholas S., Alan S. Gibson, and Gary B. Lamont. "Hypergame Theory: A Model for Conflict, Misperception, and Deception." Game Theory 2015 (August 19, 2015): 1–20. http://dx.doi.org/10.1155/2015/570639.
Borghetti, Brett J. "The Environment Value of an Opponent Model." IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40, no. 3 (June 2010): 623–33. http://dx.doi.org/10.1109/tsmcb.2009.2033703.
Donkers, H. H. L. M., H. J. van den Herik, and J. W. H. M. Uiterwijk. "Selecting evaluation functions in Opponent-Model search." Theoretical Computer Science 349, no. 2 (December 2005): 245–67. http://dx.doi.org/10.1016/j.tcs.2005.09.049.
Dewan, Torun, and Rafael Hortala-Vallve. "Electoral Competition, Control and Learning." British Journal of Political Science 49, no. 3 (May 24, 2017): 923–39. http://dx.doi.org/10.1017/s0007123416000764.
Tian, Xin, Yubei Huang, Lu Cai, and Hai Fang. "E-Commerce Decision Model Based on Auto-Learning." Journal of Electronic Commerce in Organizations 15, no. 4 (October 2017): 57–71. http://dx.doi.org/10.4018/jeco.2017100105.
Lv, Yongliang, Yan Zheng, and Jianye Hao. "Opponent modeling with trajectory representation clustering." Intelligence & Robotics 2, no. 2 (2022): 168–79. http://dx.doi.org/10.20517/ir.2022.09.
Vial, Shayne, James L. Croft, Ryan T. Schroeder, Anthony J. Blazevich, and Jodie Cochrane Wilkie. "Does the presence of an opponent affect object projection accuracy in elite athletes? A study of the landing location of the short serve in elite badminton players." International Journal of Sports Science & Coaching 15, no. 3 (March 29, 2020): 412–17. http://dx.doi.org/10.1177/1747954120915670.
Hein, Anthony, May Jiang, Vydhourie Thiyageswaran, and Michael Guerzhoy. "Random Forests for Opponent Hand Estimation in Gin Rummy." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (May 18, 2021): 15545–50. http://dx.doi.org/10.1609/aaai.v35i17.17830.
Gawne, Timothy J., and Thomas T. Norton. "An opponent dual-detector spectral drive model of emmetropization." Vision Research 173 (August 2020): 7–20. http://dx.doi.org/10.1016/j.visres.2020.03.011.
Tian, Yuan, Klaus-Rudolf Kladny, Qin Wang, Zhiwu Huang, and Olga Fink. "Multi-agent actor-critic with time dynamical opponent model." Neurocomputing 517 (January 2023): 165–72. http://dx.doi.org/10.1016/j.neucom.2022.10.045.
Joyce, D. W., B. B. Averbeck, C. D. Frith, and S. S. Shergill. "Examining belief and confidence in schizophrenia." Psychological Medicine 43, no. 11 (March 22, 2013): 2327–38. http://dx.doi.org/10.1017/s0033291713000263.
Angilletta, Michael J., Gregory Kubitz, and Robbie S. Wilson. "Self-deception in nonhuman animals: weak crayfish escalated aggression as if they were strong." Behavioral Ecology 30, no. 5 (July 13, 2019): 1469–76. http://dx.doi.org/10.1093/beheco/arz103.
Patel, Saumil S., Bai-Chuan Jiang, and Haluk Ogmen. "Vergence Dynamics Predict Fixation Disparity." Neural Computation 13, no. 7 (July 1, 2001): 1495–525. http://dx.doi.org/10.1162/089976601750264983.
NING, Hong-yun, Jin-lan LIU, and De-gan ZHANG. "Intelligent order online negotiation model with incomplete information of opponent." Journal of Computer Applications 29, no. 1 (June 25, 2009): 221–23. http://dx.doi.org/10.3724/sp.j.1087.2009.00221.
Perevozchikov, A. G., V. Yu Reshetov, and I. E. Yanochkin. "A Discrete Multilevel Attack-Defense Model with Nonhomogeneous Opponent Resources." Computational Mathematics and Modeling 29, no. 2 (February 24, 2018): 134–45. http://dx.doi.org/10.1007/s10598-018-9396-3.
LEBEDEV, D. S., and D. W. MARSHAK. "Amacrine cell contributions to red-green color opponency in central primate retina: A model study." Visual Neuroscience 24, no. 4 (July 2007): 535–47. http://dx.doi.org/10.1017/s0952523807070502.
Verbrugge, Rineke, Ben Meijering, Stefan Wierda, Hedderik van Rijn, and Niels Taatgen. "Stepwise training supports strategic second-order theory of mind in turn-taking games." Judgment and Decision Making 13, no. 1 (January 2018): 79–98. http://dx.doi.org/10.1017/s1930297500008846.
Weber, Ben, Michael Mateas, and Arnav Jhala. "A Particle Model for State Estimation in Real-Time Strategy Games." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 7, no. 1 (October 9, 2011): 103–8. http://dx.doi.org/10.1609/aiide.v7i1.12424.
Gao, Xinbo, Hiroyuki Iida, Jos W. H. M. Uiterwijk, and H. Jaap van den Herik. "Strategies anticipating a difference in search depth using opponent-model search." Theoretical Computer Science 252, no. 1-2 (February 2001): 83–104. http://dx.doi.org/10.1016/s0304-3975(00)00077-3.
Sally, Almanasra, Suwais Khaled, and Rafie Arshad Muhammad. "Adaptive automata model for learning opponent behavior based on genetic algorithms." Scientific Research and Essays 7, no. 42 (October 31, 2012): 3609–20. http://dx.doi.org/10.5897/sre11.1860.
Morgan, M. J., and D. Regan. "Opponent model for line interval discrimination: Interval and vernier performance compared." Vision Research 27, no. 1 (January 1987): 107–18. http://dx.doi.org/10.1016/0042-6989(87)90147-7.
Li, Cheng-Yu, Hans A. Hofmann, Melissa L. Harris, and Ryan L. Earley. "Real or fake? Natural and artificial social stimuli elicit divergent behavioural and neural responses in mangrove rivulus, Kryptolebias marmoratus." Proceedings of the Royal Society B: Biological Sciences 285, no. 1891 (November 14, 2018): 20181610. http://dx.doi.org/10.1098/rspb.2018.1610.
LEU, SOU-SEN, PHAM VU HONG SON, P. E. JUI-SHENG CHOU, and PHAM THI HONG NHUNG. "DEVELOPING FUZZY BAYESIAN GAME MODEL FOR OPTIMIZING NEGOTIATION PRICE." International Journal of Computational Intelligence and Applications 13, no. 04 (December 2014): 1450022. http://dx.doi.org/10.1142/s1469026814500229.
RUSINOWSKA, AGNIESZKA. "REFINEMENTS OF NASH EQUILIBRIA IN VIEW OF JEALOUS OR FRIENDLY BEHAVIOR OF PLAYERS." International Game Theory Review 04, no. 03 (September 2002): 281–99. http://dx.doi.org/10.1142/s0219198902000707.
Slantchev, Branislav L. "Feigning Weakness." International Organization 64, no. 3 (July 2010): 357–88. http://dx.doi.org/10.1017/s002081831000010x.
Schleiner, Winfried. "Early Modern Controversies about the One-Sex Model." Renaissance Quarterly 53, no. 1 (2000): 180–91. http://dx.doi.org/10.2307/2901536.
Sato, Reo, Kanji Shimomura, and Kenji Morita. "Opponent learning with different representations in the cortico-basal ganglia pathways can develop obsession-compulsion cycle." PLOS Computational Biology 19, no. 6 (June 15, 2023): e1011206. http://dx.doi.org/10.1371/journal.pcbi.1011206.
KAMERMANS, M., D. A. KRAAIJ, and H. SPEKREIJSE. "The cone/horizontal cell network: A possible site for color constancy." Visual Neuroscience 15, no. 5 (May 1998): 787–97. http://dx.doi.org/10.1017/s0952523898154172.
Villacorta, Pablo J., and David A. Pelta. "A repeated imitation model with dependence between stages: Decision strategies and rewards." International Journal of Applied Mathematics and Computer Science 25, no. 3 (September 1, 2015): 617–30. http://dx.doi.org/10.1515/amcs-2015-0045.
Kusunoki, Makoto, Natasha Sigala, Hamed Nili, David Gaffan, and John Duncan. "Target Detection by Opponent Coding in Monkey Prefrontal Cortex." Journal of Cognitive Neuroscience 22, no. 4 (April 2010): 751–60. http://dx.doi.org/10.1162/jocn.2009.21216.
Boda, Márton Attila. "Avoiding Revenge Using Optimal Opponent Ranking Strategy in the Board Game Catan." International Journal of Gaming and Computer-Mediated Simulations 10, no. 2 (April 2018): 47–70. http://dx.doi.org/10.4018/ijgcms.2018040103.
Chuan Lin, Hao-Jun Zhao, and Yi-Jun Cao. "Improved Color Opponent Contour Detection Model Based on Dark and Light Adaptation." Automatic Control and Computer Sciences 53, no. 6 (November 2019): 560–71. http://dx.doi.org/10.3103/s0146411619060075.
Sasithradevi, A., and S. Mohamed Mansoor Roomi. "A new pyramidal opponent color-shape model based video shot boundary detection." Journal of Visual Communication and Image Representation 67 (February 2020): 102754. http://dx.doi.org/10.1016/j.jvcir.2020.102754.
Hansen, Thorsten, and Heiko Neumann. "A simple cell model with dominating opponent inhibition for robust image processing." Neural Networks 17, no. 5-6 (June 2004): 647–62. http://dx.doi.org/10.1016/j.neunet.2004.04.002.
Usui, Shiro, Shigeki Nakauchi, and Sei Miyake. "Acquisition of color opponent representation by a three-layered neural network model." Biological Cybernetics 72, no. 1 (November 1994): 35–41. http://dx.doi.org/10.1007/bf00206236.
Hansen, Thorsten, Gregory Baratoff, and Heiko Neumann. "A simple cell model with dominating opponent inhibition for robust contrast detection." Kognitionswissenschaft 9, no. 2 (June 2000): 93–100. http://dx.doi.org/10.1007/bf03354941.