Academic literature on the topic 'State space exercises][Game theory'
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Journal articles on the topic "State space exercises][Game theory"
Abalo, Kokou Y., and Michael M. Kostreva. "Existence theory for games of pricing and technology." ANZIAM Journal 43, no. 4 (April 2002): 575–85. http://dx.doi.org/10.1017/s1446181100012165.
Full textViktor A., Sidorov. "Games as a Cultural Institute of the “Digital” Space." Humanitarian Vector 15, no. 5 (May 2020): 176–85. http://dx.doi.org/10.21209/1996-7853-2020-15-5-176-185.
Full textKhan, Faisal Shah, and Simon J. D. Phoenix. "Gaming the quantum." Quantum Information and Computation 13, no. 3&4 (March 2013): 231–44. http://dx.doi.org/10.26421/qic13.3-4-5.
Full textWang, Ziwen, Baichun Gong, Yanhua Yuan, and Xin Ding. "Incomplete Information Pursuit-Evasion Game Control for a Space Non-Cooperative Target." Aerospace 8, no. 8 (August 3, 2021): 211. http://dx.doi.org/10.3390/aerospace8080211.
Full textZhang, Yuchen, and Jing Liu. "Optimal Decision-Making Approach for Cyber Security Defense Using Game Theory and Intelligent Learning." Security and Communication Networks 2019 (December 23, 2019): 1–16. http://dx.doi.org/10.1155/2019/3038586.
Full textRegev, Oded. "Bell violations through independent bases games." Quantum Information and Computation 12, no. 1&2 (January 2012): 9–20. http://dx.doi.org/10.26421/qic12.1-2-2.
Full textPeeperkorn, Jacques. "A Proposed Model to Behaviourally Pricing Risk." Journal of Economics and Behavioral Studies 6, no. 6 (June 30, 2014): 477–87. http://dx.doi.org/10.22610/jebs.v6i6.509.
Full textInoue, Roberto S., Adriano A. G. Siqueira, and Marco H. Terra. "Experimental results on the nonlinear∞control via quasi-LPV representation and game theory for wheeled mobile robots." Robotica 27, no. 4 (July 2009): 547–53. http://dx.doi.org/10.1017/s0263574708004931.
Full textAraki, Shuto, Juan Pablo Arenas Uribe, Zach Wilkerson, Steven Bogaerts, and Chad Byers. "Determining Solvability in the Birds of a Feather Card Game." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9627–34. http://dx.doi.org/10.1609/aaai.v33i01.33019627.
Full textAkberdina, Victoria, Grigoriy Korovin, and Aleksandra Ponomareva. "A game-theoretical model of multisubject industrial policy." SHS Web of Conferences 55 (2018): 01019. http://dx.doi.org/10.1051/shsconf/20185501019.
Full textDissertations / Theses on the topic "State space exercises][Game theory"
Shin, Hyun Song. "A study of information and common knowledge when states are maximal descriptions, with an application to games." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.253967.
Full textCornell, Michael. "Simplifying an Infinitely Complex State-Space: Real-Time Strategy Optimization in Supreme Commander: Forged Alliance." Scholarship @ Claremont, 2015. http://scholarship.claremont.edu/cmc_theses/1123.
Full textIsmaïli, Anisse. "Algorithms for Nash-equilibria in Agent Networks and for Pareto-efficiency in State Space Search : Generalizations to Pareto-Nash in Multiple Objective Games." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066148.
Full textAn agent is an entity that decides an action. By using this abstraction, it is possible to model two children playing rock-paper-scissors, a software computing a shortest path on the internet for packet-routing on congest numerical networks, as well as an automatic combinatorial auction that sells commercial links in order to make google earn billions. The researchers in algorithmic decision theory and algorithmic game theory (mathematicians and computer scientists) like to think that these real-life examples can be modelled by mean of agents in an interaction decision system, no matter how complex is reality. The modern interactive decision systems find their complexity in multiple aspects. Firstly, the preferences of an agent can be complex to model with real numbers when there are multiple conflicting objectives resulting from every decision. Secondly, the interactions between agents are such that the payoff of every individual depends of the actions of all, making difficult the prediction of the resulting action-profile. This thesis aims at pursuing research efforts lead on these two sources of complexity, in order to consider ultimately both aspects in the same model
Books on the topic "State space exercises][Game theory"
Hollenstein, Tom. State Space Grids: Depicting Dynamics Across Development. Boston, MA: Springer US, 2013.
Find full textHollenstein, Tom. State Space Grids: Depicting Dynamics Across Development. Springer, 2012.
Find full textBook chapters on the topic "State space exercises][Game theory"
Hespanha, João P. "State-Feedback Zero-Sum Dynamic Games." In Noncooperative Game Theory. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691175218.003.0017.
Full textNOWAK, ANDRZEJ S. "Zero-Sum Nonstationary Stochastic Games with General State Space." In Game Theory and Applications, 393–97. Elsevier, 1990. http://dx.doi.org/10.1016/b978-0-12-370182-4.50036-2.
Full textBaggott, Jim. "Epilogue A Game of Theories." In The Quantum Cookbook, 265–68. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198827856.003.0014.
Full textKoch, Natalia, and Natalia Vasylkova. "THE TEXT CONCEPT OF UKRAINE IN A METAPHORICAL VIEW (BASED ON THE MATERIALS OF THE NOVEL BY L. KOSTENKO “THE NOTES OF UKRAINIAN SAMASHEDSHYI (MADMAN)”." In Trends of philological education development in the context of European integration. Publishing House “Baltija Publishing”, 2021. http://dx.doi.org/10.30525/978-9934-26-069-8-7.
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