Relevant bibliographies by topics / Decision making and game theory

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Decision making and game theory'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Decision making and game theory"

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Sanfey, Alan G. "Social Decision-Making: Insights from Game Theory and Neuroscience." Science 318, no. 5850 (2007): 598–602. http://dx.doi.org/10.1126/science.1142996.

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By combining the models and tasks of Game Theory with modern psychological and neuroscientific methods, the neuroeconomic approach to the study of social decision-making has the potential to extend our knowledge of brain mechanisms involved in social decisions and to advance theoretical models of how we make decisions in a rich, interactive environment. Research has already begun to illustrate how social exchange can act directly on the brain's reward system, how affective factors play an important role in bargaining and competitive games, and how the ability to assess another's intentions is related to strategic play. These findings provide a fruitful starting point for improved models of social decision-making, informed by the formal mathematical approach of economics and constrained by known neural mechanisms.
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Marden, Jason R., and Jeff S. Shamma. "Game Theory and Control." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (2018): 105–34. http://dx.doi.org/10.1146/annurev-control-060117-105102.

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Game theory is the study of decision problems in which there are multiple decision makers and the quality of a decision maker's choice depends on both that choice and the choices of others. While game theory has been studied predominantly as a modeling paradigm in the mathematical social sciences, there is a strong connection to control systems in that a controller can be viewed as a decision-making entity. Accordingly, game theory is relevant in settings with multiple interacting controllers. This article presents an introduction to game theory, followed by a sampling of results in three specific control theory topics where game theory has played a significant role: ( a) zero-sum games, in which the two competing players are a controller and an adversarial environment; ( b) team games, in which several controllers pursue a common goal but have access to different information; and ( c) distributed control, in which both a game and online adaptive rules are designed to enable distributed interacting subsystems to achieve a collective objective.
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Askari, Gholamreza, and Madjid Eshaghi Gordji. "Decision Making: Rational Choice or Hyper-Rational Choice." Statistics, Optimization & Information Computing 8, no. 2 (2020): 583–89. http://dx.doi.org/10.19139/soic-2310-5070-638.

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In this paper, we provide an interpretation of the rationality in game theory in which player consider the profit or loss of the opponent in addition to personal profit at the game.‎ ‎‎The goal of a game analysis with two hyper-rationality players is to provide insight into real-world situations that are often more complex than a game with two rational players where the choices of strategy are only based on individual preferences. The hyper-rationality does not mean perfect rationality but an insight toward how human decision-makers behave in interactive decisions. ‎‎The findings of this research can help to enlarge our understanding of the psychological aspects of strategy choices in games and also provide an analysis of the decision-making process with cognitive economics approach at the same time.‎
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Lisowski, Józef. "Optimization-Supported Decision-Making in the Marine Game Environment." Solid State Phenomena 210 (October 2013): 215–22. http://dx.doi.org/10.4028/www.scientific.net/ssp.210.215.

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This paper analyses optimization methods and game theory to support decision making by a navigator when controlling a vessel in various real navigational situations at sea. We have demonstrated the structure of a computer system for supporting manoeuvring decisions by a navigator. Navigational situations of an optimal and game ship control have been classified. We have also described game algorithms for supporting decision-making in a form of non-cooperative and cooperative positional and matrix games, respectively. The considerations have been illustrated with a computer simulation, using the Matlab/Simulink software, of algorithms for determining safe trajectories of a vessel in a real navigational situation at sea.
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Власов, Дмитрий, and Dmitriy Vlasov. "Game-Theoretic Modeling in Practice of Decision-Making." Scientific Research and Development. Economics 6, no. 6 (2019): 59–63. http://dx.doi.org/10.12737/article_5c1b6bff770bb7.44461594.

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In recent years application of game-theoretic modeling for decisionmaking in various fields of economic activity became very popular. However not enough researches are conducted for the purpose of determination of adequacy and efficiency of such use, questions of orientation of various game models on the solution of specific objectives of the theory of decision-making are not fully described. The relevance of a subject of article is caused by increase of interests in game theory and game modeling as to the tool of the solution of various problems of decision-making in the conditions of risk and uncertainty. The allocated contexts of application of game theory in practice of decisionmaking formed the basis of the electronic educational resource «Game theory» which became an integral part of vocational training of bachelors in Plekhanov Russian University of Economics. The presented results can be used for improvement of quality of the made decisions.
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Temisheva, A. T. "DECISION-MAKING IN RETAIL SALES USING THE METHODS OF GAME THEORY." Business Strategies 8, no. 10 (2020): 258–60. http://dx.doi.org/10.17747/2311-7184-2020-10-258-260.

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The paper considers the application of game theory in the process of retail sales by organizations. As a result of the research, the concept of game theory is defined, and methods that can be used for making decisions and choosing strategies in retail trade using game theory are shown. The expediency of using game theory for decision-making in retail sales is proved by the example.
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Misyak, Jennifer B., and Nick Chater. "Virtual bargaining: a theory of social decision-making." Philosophical Transactions of the Royal Society B: Biological Sciences 369, no. 1655 (2014): 20130487. http://dx.doi.org/10.1098/rstb.2013.0487.

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An essential element of goal-directed decision-making in social contexts is that agents' actions may be mutually interdependent. However, the most well-developed approaches to such strategic interactions, based on the Nash equilibrium concept in game theory, are sometimes too broad and at other times ‘overlook’ good solutions to fundamental social dilemmas and coordination problems. The authors propose a new theory of social decision-making—virtual bargaining—in which individuals decide among a set of moves on the basis of what they would agree to do if they could openly bargain. The core principles of a formal account are outlined (vis-à-vis the notions of ‘feasible agreement’ and explicit negotiation) and further illustrated with the introduction of a new game, dubbed the ‘Boobytrap game’ (a modification on the canonical Prisoner's Dilemma paradigm). In the first empirical data of how individuals play the Boobytrap game, participants' experimental choices accord well with a virtual bargaining perspective, but do not match predictions from a standard Nash account. Alternative frameworks are discussed, with specific empirical tests between these and virtual bargaining identified as future research directions. Lastly, it is proposed that virtual bargaining underpins a vast range of human activities, from social decision-making to joint action and communication.
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Souza, W. A. V., and M. C. Malavazi. "Game Theory: An approach through history and its applications." Scientific Electronic Archives 12, no. 1 (2019): 138. http://dx.doi.org/10.36560/1212019642.

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Game Theory is a mathematical approach to the study of decision making between individuals when each outcome depends on the decisions of others, ie, one should not make an arbitrary decision, but decide based on what they think the decision of their "opponent" will be, knowing that they think the same. Developed by John von Neumann and Oskar Morgenstern in 1944 in the book Theory of Games and Economic Behavior, it had been very contested since its launch, but the works of a genius named John Nash, winner of the Nobel Prize in economics in 1994, ended these contestations. This work shows that the Game Theory was not limited to the field of economics, but expanded to other areas, such as biology, explaining strategies used by species to survive. As results are presented more than ten models based on the principles of Game Theory, among them the Prisoner's Dilemma, Ice Cream Vendors Game, Clean City Law and Warning Song between Bird.
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Marco, AP. "Game theory and the surgeon." Bulletin of the Royal College of Surgeons of England 97, no. 8 (2015): 335–37. http://dx.doi.org/10.1308/rcsbull.2015.335.

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Setyowati, Putri Budi, Hery Toiba, S. Sujarwo, S. Syafrial, and Condro Puspo Nugroho. "GAME THEORY APPLICATION IN DECISION MAKING OF HORTICULTURE FARMING." Agricultural Social Economic Journal 21, no. 1 (2021): 59–64. http://dx.doi.org/10.21776/ub.agrise.2021.021.1.8.

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In running farming system, farmers not only have a role important as owners who land they farm. But also they are as farm managers to make any decisions to face their farming problems under risk and uncertainty. These problems are categorized as internal and external factors related to price fluctuations of agricultural commodities. For that reason, farmers need to consider some strategies to overcome their farming problem for instance by choosing the best commodities that would give them an optimal profit. The maximax, maximin, savage, and laplace criterions were used to analyze decision making of horticulture farmer in determining which best horticultural commodities to plant according to their behaviour and attitude toward farming risk. Thus, horticulture farmer will be able to make a choice whether or not it is potato, cabbage, or, scallion that will be cultivated in the next planting period. Potato farmers are categorized as the optimistic farmer who loves farming risks and they are cautious. While scallion farmers are pessimistic farmers and they are risk averse. In addition, cabbage farmers are the ones who have the least regret.
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Dissertations / Theses on the topic "Decision making and game theory"

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Avanesyan, Galina. "Decision making in Ultimatum Game." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-197616.

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The aim of this work is to show that even people who outwardly demonstrate irrational behaviour are actually rational. The only reason why their actions deviate from theoretical rational behaviour is given by different utility functions. Ultimatum game with its easy rules represents a great way to show deviations between human and rational behaviours. The model described in the thesis focuses on Responder's decision making, which is influenced not only by maximization of pure economical profit but also by many other factors, which are summed in the model in one variable -- attitude to fairness. It is shown how this variable can be predicted using decisions obtained from a multi-round Ultimatum game. To prove that humans behave in accordance with their own preferences, the modelled game does not only estimate players' attitudes to fairness but also predicts players' following actions using knowledge of estimated values.
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BAZ, ABDULLAH. "AUTONOMOUS VEHICLE DECISION MAKING AT INTERSECTION USING GAME THEORY." University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1530541445631072.

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Cardella, Eric. "An Investigation of Behavioral Influences in Strategic Decision Making." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/222632.

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In this dissertation, I study the impact of behavioral influences on strategic economic decision making in three essays.The first essay explores the interpersonal implications of guilt aversion in strategic settings. In doing so, I first introduce a stylized 2-player game where one players has an opportunity to induce guilt upon the other player in a manner derived from findings in the psychology literature. I then develop an experimental design, centered around this game, that allows me to test (i) whether agents attempt to induce guilt upon others in self-serving ways, (ii) whether agents are susceptible to the guilt induction of others, and (iii) whether agents are more trusting when they have an opportunity to induce guilt upon others. Furthermore, I theoretically show, via an application of the Battigalli and Dufwenberg (2007) model of simple guilt, that effective guilt induction can be supported as an equilibrium of the game considered.In the second essay, I explore the influence of posted price fairness concerns in bilateral negotiation settings. In doing so, I propose a price fairness model where, in addition to their material payoff, buyers receive disutility from engaging in negotiations, and aggressively negotiating, when the price is fair. As a result, the model predicts that buyers will negotiate less aggressively and possibly even forgo profitable negotiations when the posted price is fair, which is consistent with prior survey evidence on negotiation behavior. I also include a thorough discussion of the differences between the price fairness model and main alternative approaches to modeling fairness that exists in the literature.In the third essay, I experimentally investigate how the decision making quality of an agent's opponent influences learning in strategic games. In particular, I test whether learning-by-doing and learning-by-observing become more effective in games when agents face an optimal decision making opponent. To test these hypotheses, I propose a novel experimental design that enables me to measure strategic decision making quality and control the decision making quality of the opponent.
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Stauffer, Griffin K. "Design-build vs design-bid-build a procurement method selection framework." Thesis, (8 MB), 2006. http://handle.dtic.mil/100.2/ADA471905.

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Thesis (M.S. in Civil Engineering)--Purdue University, 2006.<br>"August 2006." Description based on title screen as viewed on June 9, 2010. DTIC Descriptor(s): Decision Making, Construction, Game Theory, Procurement, Models, Facilities, Standards, Selection. DTIC Identifier(s): Construction Projects, Utility Theory, Thresholds, Frameworks, Procurement Criteria, Project Delivery, Procurement Methods, DB (Design-Build), DBB (Design-Bid-Build) Includes bibliographical references (leaves 31-32). Also available in print.
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Briceño, Simón Ignacio. "A game-based decision support methodology for competitive systems design." Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26671.

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This dissertation describes the development of a game-based methodology that facilitates the exploration and selection of research and development (R&D) projects under uncertain competitive scenarios. The proposed method provides an approach that analyzes competitor positioning and formulates response strategies to forecast the impact of technical design choices on a project's market performance. A critical decision in the conceptual design phase of propulsion systems is the selection of the best architecture, centerline, core size, and technology portfolio. A key objective of this research is to examine how firm characteristics such as their relative differences in completing R&D projects, differences in the degree of substitutability between different project types, and first/second-mover advantages affect their product development strategies. Several quantitative methods are investigated that analyze business and engineering strategies concurrently. In particular, formulations based on the well-established mathematical field of game theory are introduced to obtain insights into the project selection problem. The use of game theory is explored in this research as a method to assist the selection process of R&D projects in the presence of imperfect market information. The proposed methodology focuses on two influential factors: the schedule uncertainty of project completion times and the uncertainty associated with competitive reactions. A normal-form matrix is created to enumerate players, their moves and payoffs, and to formulate a process by which an optimal decision can be achieved. The non-cooperative model is tested using the concept of a Nash equilibrium to identify potential strategies that are robust to uncertain market fluctuations (e.g: uncertainty in airline demand, airframe requirements and competitor positioning). A first/second-mover advantage parameter is used as a scenario dial to adjust market rewards and firms' payoffs. The methodology is applied to a commercial aircraft engine selection study where engine firms must select an optimal engine project for development. An engine modeling and simulation framework is developed to generate a broad engine project portfolio. The proposed study demonstrates that within a technical design environment, a rational and analytical means of modeling project development strategies is beneficial in high market risk situations.
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Costa-Gomes, Miguel A. "Essays on behavior and cognition in experimental game theory /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9907666.

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Cook, Edward. "Group Decision-Making." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5928.

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The present work explores improvements in group decision-making. It begins with a practical example using state-of-the-art techniques for a complex, high-risk decision. We show how these techniques can reveal a better alternative. Although we created an improved decision process, decision-makers were apt to protect their own organizations instead of the project. This tendency was reduced over the course of the decision-making process but inspired the first conceptual component of this work. The first concept describes the “Cost of Conflict” that can arise in a group decision, using game theory to represent the non-cooperative approach and comparing the outcome to the cooperative approach. We demonstrate that it is possible for the group to settle on a non-Paretto Nash equilibrium. The sensitivity of the decision-maker weights is revealed which led to the second conceptual portion of this work. The second concept applies social network theory to study the influence between decision-makers in a group decision. By examining the number and strength of connections between decision-makers, we build from intrinsically derived weights to extrinsically derived weights by adding the network influences from other decision-makers. The two conceptual approaches provide a descriptive view of non-cooperative decisions where decision-makers still influence each other. These concepts suggest a prescriptive approach to achieving a higher group utility.
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Iriberri, Nagore. "Essays in behavioral game theory : auctions, hide and seek, and coordination /." Diss., Connect to a 24 p. preview or request complete full text in PDF formate. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3244177.

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Briceñ̃o, Simón Ignacio. "A game-based decision support methodology for competitive systems design." Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26671.

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Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Mavris, Dimitri; Committee Member: Hollingsworth, Peter; Committee Member: Kavadias, Stylianos; Committee Member: Schrage, Daniel; Committee Member: Volovoi, Vitali. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Johansson, Alexander. "Strategic Decision-Making in Platoon Coordination." Licentiate thesis, KTH, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275670.

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The need for sustainable transportation solutions is urgent as the demand for mobility of goods and people is expected to multiply in the upcoming decades. One promising solution is truck platooning, which shows great potential in reducing the fuel consumption and operational costs of trucks.  In order to utilize the benefits of truck platooning to the fullest, trucks with different routes in a transportation network need coordination to efficiently meet and form platoons. This thesis addresses platoon coordination when trucks form  platoons at hubs, where some trucks need to wait for others in order to meet, and there is a reward for platooning and a cost for waiting. Three contributions on the topic platoon coordination are presented in this thesis. In the first contribution, we consider platoon coordination among trucks that have pre-defined routes in a network of hubs, and the travel times are either deterministic or stochastic. The trucks are owned by competing transportation companies, and each truck decides on its waiting times at hubs in order to optimize its own operational cost. We consider a group of trucks to form a platoon if it departs from a hub and enters the road at the same time. The strategic interaction among trucks when they coordinate for platooning is modeled by non-cooperative game theory, and the Nash equilibrium is considered as the solution concept when the trucks make their decisions at the beginning of their journeys. In case of stochastic travel times, we also develop feedback-based solutions wherein trucks repeatedly update their decisions. We show in a simulation study of the Swedish transportation network that the feedback-based solutions achieve platooning rates up to 60 %. In the second contribution, we propose models for sharing the platooning profit among platoon members. The platooning benefit is not equal for all trucks in a platoon; typically, the lead truck benefits less than its followers. The incentive for transportation companies to cooperate in platooning may be low unless the profit is shared. We formulate platoon coordination games based on profit-sharing models, and in a simulation of a single hub, the outcomes of the platoon coordination games are evaluated. The evaluation shows that the total profit achieved when the trucks aim to maximize their own profits, but the platooning benefit is evened out among platoon members, is nearly as high as when each truck aims to maximize the total profit in the platooning system.  In the last contribution, we study a problem where trucks arrive to a hub according to a stochastic arrival process. The trucks do not share a priori information about their arrivals; this may be sensitive information to share with others. A coordinator decides, based on the statistical distribution of arrivals, when to release the trucks at the hub in the form of a platoon. Under the assumption that the arrivals are independent and identically distributed, we show that it is optimal to release the trucks at the hub when the number of trucks exceeds a certain threshold. This contribution shows that simple and dynamic coordination approaches can obtain a high profit from platooning, even under high uncertainty and limited a priori information.<br>Under de kommande decennierna förväntas efterfrågan på transport av varor och passagerare mångfaldigas, vilket innebär att behovet av hållbara transportlösningar är brådskande. En lovande lösning är konvojkörning, som visar stor potential att minska bränsleförbrukningen och driftskostnaderna för lastbilar. För att utnyttja fördelarna med konvojkörning till fullo behöver lastbilar koordineras för att effektivt mötas och bilda konvojer. Den här avhandlingen behandlar koordinering av lastbilar som kan bilda konvojer på transporthubbar, där vissa lastbilar måste vänta på andra lastbilar för att bilda konvojer, och det finns en belöning för konvojkörning och en kostnad för att vänta. Tre bidrag som behandlar konvojkoordinering presenteras i den här avhandlingen. Det första bidraget behandlar koordinering av lastbilar med förutbestämda rutter i ett transportnätverk med deterministiska eller stokastiska restider. Lastbilarna ägs av konkurrerande transportföretag, och varje lastbil beslutar om sina väntetider på hubbarna längs med sin rutt för att optimera sin driftskostnad. Vi antar att lastbilar bildar en konvoj om de avgår från en hubb och kör in på vägen samtidigt. Den strategiska interaktionen mellan lastbilar när de koordinerar för konvojbildning modelleras med icke-kooperativ spelteori, och vi betraktar Nashjämvikt som lösningskoncept när lastbilarna beslutar om sina väntetider i början av sina resor. I fallet med stokastiska restider utvecklar vi även lösningar där lastbilarna tillåts uppdatera sina väntetider längs med sina resor. I en simuleringsstudie över det svenska transportnätverket visas att när lastbilarna tillåts uppdatera sina väntetider uppnås en konjovkörningsgrad på 60%. I det andra bidraget utreds modeller för att dela på vinsten från konvojkörning. Fördelarna med konvojkörning är inte lika för alla lastbilar i en konvoj; vanligtvis är fördelen större för följarlastbilarna än för ledarlastbilen. Således kan incitamenten för transportföretag att samarbeta i form av konvojkörning vara låga om inte vinsterna från konvojkörning delas. Baserat på vinstdelningsmodeller formulerar vi konvojkoordineringsspel. I en simulering av en transporthubb utvärderar vi utfallet från konvojkoordinationsspelen. Det visar sig att den totala vinsten som uppnås när lastbilarna försöker maximera sina egna vinster, men vinsten från konvojkörning jämnas ut helt bland konvojmedlemmar, är nästan lika hög som när varje lastbil försöker att maximera den totala vinsten i systemet. I det sista bidraget studeras ett koordineringsproblem där lastbilar anländer till en transporthubb enligt en stokastisk ankomstprocess. Lastbilarna delar inte förhandsinformation om sina ankomster; detta kan vara känslig information att dela. En koordinator bestämmer, baserat på den statistiska sannolikhetsfördelningen av ankomster, när lastbilarna på transporthubben ska släppas iväg i form av en konvoj. Under antagandet att ankomsterna är statistiskt oberoende och likafördelade, visar vi att det är optimalt att släppa iväg lastbilarna från transporthubben i form av en konvoj när antalet lastbilar överskrider en viss tröskel. Detta bidrag visar att enkla och dynamiska koordineringsmetoder kan erhålla en hög vinst från konvojkörning, även under hög osäkerhet och begränsad förhandsinformation.<br><p>Länk till den offentliga granskningen tillkännages via: https://www.kth.se/profile/alexjoha</p><p>QC 20200609</p>
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Books on the topic "Decision making and game theory"

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Decision theory and decision behaviour. 2nd ed. Macmillan, 1998.

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K, Chakrabarti Subir, ed. Games and decision making. Oxford University Press, 2000.

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Bierman, H. Scott. Game theory with economic applications. 2nd ed. Addison-Wesley, 1998.

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Bierman, H. Scott. Game theory with economic applications. Addison-Wesley Pub. Co., 1993.

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Rapoport, Anatol. Decision theory and decision behaviour: Normative and descriptive approaches. Kluwer Academic Publishers, 1989.

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Decision-making in committees: Game-theoretic analysis. Springer, 2010.

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Anders, Rantzer, and SpringerLink (Online service), eds. Distributed Decision Making and Control. Springer London, 2012.

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Decision-making under uncertainty. St. Martin's Press, 1997.

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Gekker, Ruvin. On the incompatibility of different formulations of individual rights. York University, Dept. of Economics, 1993.

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M, Jones William. On the adapting of political-military games for various purposes. Rand, 1986.

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Book chapters on the topic "Decision making and game theory"

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Khazaii, Javad. "Game Theory." In Advanced Decision Making for HVAC Engineers. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33328-1_16.

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Biswas, Tapan. "Non-Cooperative Game Theory." In Decision-Making under Uncertainty. Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-25817-8_10.

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Biswas, Tapan. "Selected Topics in Non-Cooperative Game Theory." In Decision-Making under Uncertainty. Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-25817-8_11.

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Fox, William P., and Robert Burks. "Game Theory." In Applications of Operations Research and Management Science for Military Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20569-0_6.

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Tzeng, Chun-Hung. "Estimation and Decision Making." In A Theory of Heuristic Information in Game-Tree Search. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61368-5_7.

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Davis, Morton. "Game Theory: The Art of Making Joint Decisions." In The Art of Decision-Making. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-1074-0_3.

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Das, Santosh Kumar, AbhilekhNath Das, Harsh Kumar Sinha, Shom Prasad Das, and Soumen Nayak. "Game Theory Based Optimal Decision-Making System." In Smart Innovation, Systems and Technologies. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5971-6_80.

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Estivill-Castro, Vladimir. "Game Theory Formulation for Ethical Decision Making." In Robotics and Well-Being. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12524-0_4.

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Rass, Stefan. "Decision Making When Consequences Are Random." In Game Theory for Security and Risk Management. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75268-6_2.

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Littman, Michael L. "Tutorial: Learning Topics in Game-Theoretic Decision Making." In Learning Theory and Kernel Machines. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45167-9_1.

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Conference papers on the topic "Decision making and game theory"

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Cheng, Min-Yuan, and Chia-Chi Hsiang. "Bid Decision Making with Prospect Game Theory." In 29th International Symposium on Automation and Robotics in Construction; Held jointly with the 8th World Conference of the International Society for Gerontechnology. International Association for Automation and Robotics in Construction (IAARC), 2012. http://dx.doi.org/10.22260/isarc2012/0057.

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German, Ana Maria, and Alexandru Codrin Ionescu. "Decision Making Process in Business Using Game Theory." In 10th LUMEN International Scientific Conference Rethinking Social Action. Core Values in Practice RSACVP 2018, 20 - 21 April 2018 Suceava, Romania. LUMEN Publishing House, 2018. http://dx.doi.org/10.18662/lumproc.43.

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Beynier, Aurelie, and Abdel-Illah Mouaddib. "Decentralized decision making process for document server networks." In 2009 International Conference on Game Theory for Networks (GameNets). IEEE, 2009. http://dx.doi.org/10.1109/gamenets.2009.5137379.

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Liao, Wei-Cheng, Chi-Yen Yin, and Johannes K. Chiang. "Decision making model on strategic technology investment using game theory." In 2009 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2009. http://dx.doi.org/10.1109/ieem.2009.5372909.

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Stirling, Wynn C., and Luca Tummolini. "Conditional Game Theory as a Model for Coordinated Decision Making." In 10th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006956702950302.

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Castillo, Luis, and Carlos A. Dorao. "Decision-Making on Liquefied Natural Gas (LNG) projects using game theory." In 2011 Ieee Symposium On Computational Intelligence In Multicriteria Decision-Making - Part Of 17273 - 2011 Ssci. IEEE, 2011. http://dx.doi.org/10.1109/smdcm.2011.5949269.

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Meng, Fanlin, Jinya Su, Cunjia Liu, and Wen-Hua Chen. "Dynamic decision making in lane change: Game theory with receding horizon." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737643.

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Xiao, Angran, Sai Zeng, Janet Allen, Farrokh Mistree, and David Rosen. "Collaborating Multidisciplinary Decision Making Using Game Theory and Design Capability Indices." In 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-5617.

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Zou, Lin, and Hongji Yang. "Creative computing for decision making: Combining game theory and lateral thinking." In 2015 21st International Conference on Automation and Computing (ICAC). IEEE, 2015. http://dx.doi.org/10.1109/iconac.2015.7313962.

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Xiaohai, Xin. "Airport Taxi Management and Decision Making Model Based on Game Theory." In 2020 5th International Conference on Electromechanical Control Technology and Transportation (ICECTT). IEEE, 2020. http://dx.doi.org/10.1109/icectt50890.2020.00138.

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Reports on the topic "Decision making and game theory"

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Cantwell, Gregory L. Can Two Person Zero Sum Game Theory Improve Military Decision-Making Course of Action Selection? Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada415850.

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Grigolini, Paolo, and Bruce J. West. Network Theory of Human Decision Making. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada577893.

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Jensen, Randy, Bart Presnell, James Lunsford, and M. G. Cobb. Automated Intelligent Training with a Tactical Decision Making Serious Game. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada596743.

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Kondratenko, Victoria. On creation of the universal mathematical management decision making theory. PІDVODNІ TEHNOLOGІЇ, 2019. http://dx.doi.org/10.31493/uwt1909.1201.

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Agrawal, Ajay, Joshua Gans, and Avi Goldfarb. Prediction, Judgment and Complexity: A Theory of Decision Making and Artificial Intelligence. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24243.

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Singleton, Patrick. A Theory of Travel Decision-Making with Applications for Modeling Active Travel Demand. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1493.

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Streufert, Siegfried, and Robert W. Swezey. Aspects of Cognitive Complexity Theory and Research as Applied to a Managerial Decision Making Simulation. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada161376.

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Li, Xuejing, Junqiang Zhao, and Yufang Hao. Shared decision-making in healthcare in mainland China: a theory informed scoping review study protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.3.0021.

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Lewis, Alain A. On Turing Degrees of Walrasian Models and a General Impossibility Result in the Theory of Decision Making. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada198449.

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Sampson, James P., Debra S. Osborn, Emily Bullock-Yowell, et al. An Introduction to Cognitive Information Processing Theory, Research, and Practice. Florida State University Libraries, 2020. http://dx.doi.org/10.33009/fsu.1593091156.

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Abstract:
The primary purpose of this paper is to introduce essential elements of cognitive information processing (CIP) theory, research, and practice as they existed at the time of this writing. The introduction that follows describes the nature of career choices and career interventions, and the integration of theory, research, and practice. After the introduction, the paper continues with three main sections that include CIP theory related to vocational behavior, research related to vocational behavior and career intervention, and CIP theory related to career interventions. The first main section describes CIP theory, including the evolution of CIP theory, the nature of career problems, theoretical assumptions, the pyramid of information processing domains, the CASVE Cycle, and the use of the pyramid and CASVE cycle. The second main section describes CIP theory-based research in examining vocational behavior and establishing evidence-based practice for CIP theory-based career interventions. The third main section describes CIP theory related to career intervention practice, including theoretical assumptions, readiness for career decision making, readiness for career intervention, the differentiated service delivery model, and critical ingredients of career interventions. The paper concludes with regularly updated sources of information on CIP theory.
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