Academic literature on the topic 'Rational agent models'

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Journal articles on the topic "Rational agent models"

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GASPAR, JESS, and KENNETH L. JUDD. "SOLVING LARGE-SCALE RATIONAL-EXPECTATIONS MODELS." Macroeconomic Dynamics 1, no. 1 (1997): 45–75. http://dx.doi.org/10.1017/s1365100597002022.

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We explore alternative approaches to numerical solutions of large rational-expectations models. We discuss and compare several current alternatives, focusing on the trade-offs in accuracy, space, and speed. The models range from representative-agent models with many goods and capital stocks, to models of heterogeneous agents with complete or incomplete asset markets. The methods include perturbation and projection methods. We show that these methods are capable of analyzing moderately large models even when we use only elementary, general-purpose numerical methods.
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Castro, Luciano, and Antonio F. Galvao. "Dynamic Quantile Models of Rational Behavior." Econometrica 87, no. 6 (2019): 1893–939. http://dx.doi.org/10.3982/ecta15146.

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This paper develops a dynamic model of rational behavior under uncertainty, in which the agent maximizes the stream of future τ‐quantile utilities, for τ ∈ (0,1). That is, the agent has a quantile utility preference instead of the standard expected utility. Quantile preferences have useful advantages, including the ability to capture heterogeneity and allowing the separation between risk aversion and elasticity of intertemporal substitution. Although quantiles do not share some of the helpful properties of expectations, such as linearity and the law of iterated expectations, we are able to est
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Puu, Tönu. "Rational expectations and the Cournot-Theocharis problem." Discrete Dynamics in Nature and Society 2006 (2006): 1–11. http://dx.doi.org/10.1155/ddns/2006/32103.

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In dynamic models in economics, often “rational expectations” are assumed. These are meant to show that the agents can correctly foresee the result of their own and the other agents' actions. In this paper, it is shown that this cannot happen in a simple oligopoly model with a linear demand function and constant marginal costs. “Naive expectations,” that is, where each agent assumes the other agents to retain their previous period action, are shown to result in a 2-period cycle. However, adapting to the observed periodicity always doubles the actual resulting periodicity. In general, it is imp
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JONG, STEVEN DE, KARL TUYLS, and KATJA VERBEECK. "Fairness in multi-agent systems." Knowledge Engineering Review 23, no. 2 (2008): 153–80. http://dx.doi.org/10.1017/s026988890800132x.

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AbstractMulti-agent systems are complex systems in which multiple autonomous entities, called agents, cooperate in order to achieve a common or personal goal. These entities may be computer software, robots, and also humans. In fact, many multi-agent systems are intended to operate in cooperation with or as a service for humans. Typically, multi-agent systems are designed assuming perfectly rational, self-interested agents, according to the principles of classical game theory. Recently, such strong assumptions have been relaxed in various ways. One such way is explicitly including principles d
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Dehdashti, Shahram, Lauren Fell, Abdul Karim Obeid, Catarina Moreira, and Peter Bruza. "Bistable probabilities: a unified framework for studying rationality and irrationality in classical and quantum games." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476, no. 2237 (2020): 20190839. http://dx.doi.org/10.1098/rspa.2019.0839.

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This article presents a unified probabilistic framework that allows both rational and irrational decision-making to be theoretically investigated and simulated in classical and quantum games. Rational choice theory is a basic component of game-theoretic models, which assumes that a decision-maker chooses the best action according to their preferences. In this article, we define irrationality as a deviation from a rational choice. Bistable probabilities are proposed as a principled and straightforward means for modelling (ir)rational decision-making in games. Bistable variants of classical and
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ZGONNIKOV, ARKADY, and IHOR LUBASHEVSKY. "UNSTABLE DYNAMICS OF ADAPTATION IN UNKNOWN ENVIRONMENT DUE TO NOVELTY SEEKING." Advances in Complex Systems 17, no. 03n04 (2014): 1450013. http://dx.doi.org/10.1142/s0219525914500131.

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Learning and adaptation play great role in emergent socio-economic phenomena. Complex dynamics has been previously found in the systems of multiple learning agents interacting via a simple game. Meanwhile, the single agent adaptation is considered trivially stable. We advocate the idea that adopting a more complex model of the individual behavior may result in a more diverse spectrum of macro-level behaviors. We develop an adaptation model based on the reinforcement learning framework extended by an additional processing channel. We scrutiny the dynamics of the single agent adapting to the unk
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Pape, Andreas D. "Rational Expectations Voting in Agent-Based Models: An Application to Tax Ceilings." Review of Behavioral Economics 3, no. 1 (2016): 47–90. http://dx.doi.org/10.1561/105.00000043.

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LeBaron, Blake. "EVOLUTION AND TIME HORIZONS IN AN AGENT-BASED STOCK MARKET." Macroeconomic Dynamics 5, no. 02 (2001): 225–54. http://dx.doi.org/10.1017/s1365100501019058.

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Recent research has shown the importance of time horizons in models of learning in finance. The dynamics of how agents adjust to believe that the world around them is stationary may be just as crucial in the convergence to a rational expectations equilibrium as getting parameters and model specifications correct in the learning process. This paper explores the process of this evolution in learning and time horizons in a simple agent-based financial market. The results indicate that, although the simple model structure used here replicates usual rational expectations results with long-horizon a
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Renner, Philipp, and Karl Schmedders. "Discrete‐time dynamic principal–agent models: Contraction mapping theorem and computational treatment." Quantitative Economics 11, no. 4 (2020): 1215–51. http://dx.doi.org/10.3982/qe960.

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We consider discrete‐time dynamic principal–agent problems with continuous choice sets and potentially multiple agents. We prove the existence of a unique solution for the principal's value function only assuming continuity of the functions and compactness of the choice sets. We do this by a contraction mapping theorem and so also obtain a convergence result for the value function iteration. To numerically compute a solution for the problem, we have to solve a collection of static principal–agent problems at each iteration. As a result, in the discrete‐time setting solving the static problem i
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Lucas, Andrew T., Ryan Robinson, Allison N. Schorzman, Joseph A. Piscitelli, Juan F. Razo, and William C. Zamboni. "Pharmacologic Considerations in the Disposition of Antibodies and Antibody-Drug Conjugates in Preclinical Models and in Patients." Antibodies 8, no. 1 (2019): 3. http://dx.doi.org/10.3390/antib8010003.

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The rapid advancement in the development of therapeutic proteins, including monoclonal antibodies (mAbs) and antibody-drug conjugates (ADCs), has created a novel mechanism to selectively deliver highly potent cytotoxic agents in the treatment of cancer. These agents provide numerous benefits compared to traditional small molecule drugs, though their clinical use still requires optimization. The pharmacology of mAbs/ADCs is complex and because ADCs are comprised of multiple components, individual agent characteristics and patient variables can affect their disposition. To further improve the cl
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Dissertations / Theses on the topic "Rational agent models"

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Kubyshkina, Ekaterina. "La logique de l'agent rationnel." Thesis, Paris 1, 2018. http://www.theses.fr/2018PA01H208.

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Les logiques multivalentes sont définies comme une famille de logiques non classiques dont la caractéristique commune est de ne pas restreindre les valeurs de vérité aux seuls « vrai » et « faux ». À cet égard, Kleene (1938) a offert une logique se fondant sur l’intuition que tout énoncé est soit vrai, soit faux ; mais qu’il existe néanmoins des énoncés dont la valeur de vérité n’est pas connue. La formalisation d’une telle intuition amena Kleene à introduire une troisième attribution de valeur de vérité pour les énoncés : « inconnu ». Pour autant, une telle formalisation reste ambiguë : elle
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Moreno, Ribas Antonio. "Modelling rational inquiry in non-ideal agents." Doctoral thesis, Universitat Politècnica de Catalunya, 2000. http://hdl.handle.net/10803/6636.

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de la tesi doctoral<br/><br/>L'objectiu principal del treball realitzat ha sigut el desenvolupar una manera de modelar el procés d'investigació racional (l'evolució de les creences d'un agent racional com a conseqüència de la seva interacció amb l'entorn i dels seus procesos d'inferència), mantenint la idea general del model dels móns possibles i la semàntica de Kripke, però intentant evitar els problemes de l'omnisciència lògica i el raonament ideal. Les contribucions principals del treball són:<br/><br/>· S'ha fet un estudi molt detallat sobre les diferents propostes que s'han fet en el tema
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Wittmann, Tobias. "Agent-based models of energy investment decisions /." Heidelberg : Physica, 2008. http://www.gbv.de/dms/zbw/549538003.pdf.

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Zumpe, Martin Kai. "Stabilité macroéconomique, apprentissage et politique monétaire : une approche comparative : modélisation DSGE versus modélisation multi-agents." Thesis, Bordeaux 4, 2012. http://www.theses.fr/2012BOR40022/document.

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Cette thèse analyse le rôle de l’apprentissage dans deux cadres de modélisation distincts. Dans le cas dunouveau modèle canonique avec apprentissage adaptatif, les caractéristiques les plus marquantes des dynamiquesd’apprentissage concernent la capacité des règles de politique monétaire à assurer la convergencevers l’équilibre en anticipations rationnelles. Le mécanisme de transmission de la politique monétaire estcelui de l’effet de substitution associé au canal de la consommation. Dans le cas d’un modèle multi-agentsqui relâche des hypothèses restrictives du nouveau modèle canonique, tout en
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Meyer, Gautier. "Formalisation logique de préférences qualitatives pour la sélection de la réaction d'un agent rationnel dialoguant." Phd thesis, Université Paris Sud - Paris XI, 2006. http://tel.archives-ouvertes.fr/tel-00321676.

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La formalisation du principe de rationalité dans la plupart des modèles d'agent permet rarement de spécifier complètement les réactions du système. C'est pourquoi nous considérons dans cette thèse l'introduction d'une phase de décision explicite au sein de ces modèles. Plus précisément, nous proposons une nouvelle façon entièrement qualitative de représenter les informations sur la désirabilité des alternatives nécessaires à cette phase : les préférences. Cette dernière est formalisée en logique des prédicats du premier ordre.<br /><br />Afin d'autoriser une spécification intuitive des préfére
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Torres, Jorge Alberto Rangel. "Uma arquitetura para animar agentes autônomos em ambientes virtuais usando o modelo BDI." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2004. http://hdl.handle.net/10183/90427.

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Humanos virtuais são modelos computacionais de pessoas. Se necessário, podem apresentar uma aparência bastante realista, baseada em princípios fisiológicos e biomecânicos. Além disso, são capazes de comportar-se de forma autônoma e inteligente em ambientes dinâmicos, podendo apresentar até mesmo individualidade e personalidade. Humanos virtuais podem ser utilizados como atores sintéticos. Tais atores têm sido usados em uma série de aplicações com a finalidade de simular a presença de atores reais. A indústria de jogos por computador requer personagens que sejam capazes de reagir apropriadament
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Seguin, Christel. "De l'action à l'intention : vers une caractérisation formelle des agents." Toulouse 3, 1992. http://www.theses.fr/1992TOU30048.

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Nous proposons une formalisation logique des univers multi-agents. Pour cela, nous avons analyse les agents rationnels a travers les liens qui existent entre leurs attitudes mentales et leur comportement. Les attitudes mentales, connaissance et intention, constituent les objets du raisonnement de l'agent. Les connaissances correspondent a la perception partielle mais objective que l'agent a de son environnement alors que les intentions decrivent les situations que l'agent souhaite atteindre. Le comportement de l'agent est analyse a travers l'enchainement de ses actes. Ces differentes composant
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Chen, Chun-Fung. "The politics of renewable energy in China : towards a new model of environmental governance?" Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665423.

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The use of renewable energy as part of the solution for stabilising global warming has been promoted in industrialised countries for the past three decades. In the last ten years, China, a non-democratic and less-developed state, has implemented non-hydro alternative energy sources through top-down, technology-oriented measures and expanded its renewable energy capacity with unprecedented speed and breadth. This phenomenon seems to contradict to the principle of orthodox environmental governance, in which stakeholder participation is deemed as necessary condition for effective policy outcomes.
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Salzer, Patrick. "Ecological rationality and Human needs." Master's thesis, 2020. http://hdl.handle.net/10071/21632.

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The pervasive Rational Agent Model distorts reality by creating a self-fulfilling prophecy. While behavioral economics tried to conceptualize actual behavior of individuals, giving an introduction into various philosophical and psychological aspects of rationality and human choice, it remains rather limited in terms of abstractions, descriptions and interpretations. The present research explores realms of individual ecological rationality by analyzing the first environment of the mind, the human body, and its effects on cognition and decisions. As human needs have been identified by var
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Books on the topic "Rational agent models"

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Santa Fe Institute (Santa Fe, N.M.), ed. Agent-based modeling: The Santa Fe Institute artificial stock market model revisited. Springer, 2008.

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Carroll, Chris. The epidemiology of macroeconomic expectations. National Bureau of Economic Research, 2001.

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Benigno, Pierpaolo. Portfolio choices with near rational agents: A solution to some international-finance puzzles. National Bureau of Economic Research, 2007.

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Benigno, Pierpaolo. Portfolio choices with near rational agents: A solution to some international-finance puzzles. National Bureau of Economic Research, 2007.

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Vellakkal, Sukumar. Adverse selection and private health insurance coverage in India: A rational behaviour model of insurance agents under asymmetric information. Indian Council for Research on International Economic Relations, 2009.

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Sugden, Robert. The Inner Rational Agent. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825142.003.0004.

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Chapter 4 reviews ‘behavioural welfare economics’—the approach to normative analysis that is favoured by most behavioural economists. This approach assumes that people have context-independent ‘true’ or ‘latent’ preferences which, because of psychologically-induced errors, are not always revealed in actual choices. Behavioural welfare economics aims to reconstruct latent preferences by identifying and removing the effects of error on decisions, and to design policies to satisfy those preferences. Its implicit model of human agency is of an ‘inner rational agent’ that interacts with the world t
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Cohen, Dov, Ivan Hernandez, Karl Gruschow, Andrzej Nowak, Michele J. Gelfand, and Wojciech Borkowski. Rationally Irrational? Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190492908.003.0004.

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A commitment to honor is a commitment to irrationality—at least in the short-run—because it involves defending one’s honor, regardless of stakes or cost. Yet, circumstances giving rise to honor cultures—lawless environments, portable (easy-to-steal) wealth—create milieus where people must appear tough to deter predators. Thus, what seems irrational in the short-run may be rational in the long-run. This chapter describes three agent-based models exploring when an honor stance is advantageous and examining population dynamics of strategies in the environment. Models track empirical observations
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Andersen, Jorgen Vitting. From Minority Games to $-Games. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.17.

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This chapter argues for the use of game theory or agent-based modeling to go beyond the standard methods used in traditional approaches to finance. The theory of rational expectations is at the core of most theories of finance in use since the 1970s, but it is also very unrealistic. This chapter first introduces some very general thoughts about elements needed in a new framework for finance. Then a few concrete examples of heterogeneous agent-based models will be introduced, and several of their main results will be discussed. Finally, applications and methods to real-market data will be intro
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Dowding, Keith. Rational Choice and Political Power. Policy Press, 2019. http://dx.doi.org/10.1332/policypress/9781529206333.001.0001.

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Rational Choice and Political Power is a classic text republished with two new chapters. It critiques the three dimensions of power showing that we can explain everything the dimensions are designed to highlight using the tools of rational choice theory. It argues power is best seen as a property of agents, and can be measured by looking at their relative resources. Breaking down power resources into five abstract categories we can see why groups of individuals can fail to secure their best interests due to the collective action problem. We can also define objective interests in through the le
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Okasha, Samir. Risk, Rational Choice, and Evolution. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815082.003.0009.

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Decision-theoretic ideas arise in two areas of biology: risk-sensitive foraging, and the theory of evolution in variable environments. The former concerns the actual behavioural choices that organisms make, the latter the ‘choices’ made by natural selection. A natural suggestion is that both sorts of choices can be modelled in terms of expected utility maximization, the standard theory of rational decision in the face of risk. However, this is only true under particular model assumptions; it does not hold in situations involving a combination of aggregate and idiosyncratic risk. Mixed strategi
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Book chapters on the topic "Rational agent models"

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Yanagita, Tatsuo, and Tamotsu Onozaki. "A Model of Market Structure Dynamics with Boundedly Rational Agents." In Agent-Based Social Systems. Springer Japan, 2009. http://dx.doi.org/10.1007/978-4-431-87435-5_21.

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Thomas, Philip. "Critique of the rational agent model: reinventing Roman law?" In De rebus divinis et humanis. V&R unipress, 2019. http://dx.doi.org/10.14220/9783737007313.365.

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Khan, Shakil M., and Yves Lespérance. "A Model of Rational Agency for Communicating Agents." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32258-0_16.

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Lai, Guoming, Cuihong Li, and Katia Sycara. "A General Model for Pareto Optimal Multi-Attribute Negotiations." In Rational, Robust, and Secure Negotiations in Multi-Agent Systems. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-76282-9_4.

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Lai, Guoming, Katia Sycara, and Cuihong Li. "A Decentralized Model for Multi-Attribute Negotiations with Incomplete Information and General Utility Functions." In Rational, Robust, and Secure Negotiations in Multi-Agent Systems. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-76282-9_3.

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Hindriks, Koen V., and M. Birna van Riemsdijk. "A Computational Semantics for Communicating Rational Agents Based on Mental Models." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14843-9_3.

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Gouri Suresh, Shyam. "Rational Versus Adaptive Expectations in an Agent-Based Model of a Barter Economy." In Complex Systems Modeling and Simulation in Economics and Finance. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99624-0_7.

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Vié, Aymeric. "Selecting Information in Financial Markets Herding and Opinion Swings in a Heterogeneous Mimetic Rational Agent-Based Model." In Unifying Themes in Complex Systems IX. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96661-8_12.

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Sengupta, Raja, Colin C. Chapman, Dipto Sarkar, and Sarah Bortolamiol. "Automated Extraction of Movement Rationales for Building Agent-Based Models: Example of a Red Colobus Monkey Group." In Advances in Geographic Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65993-0_5.

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Ebenhoh, E. "Agent-Based Modelnig with Boundedly Rational Agents." In Handbook of Research on Nature-Inspired Computing for Economics and Management. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59140-984-7.ch017.

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This chapter introduces an agent-based modeling framework for reproducing micro behavior in economic experiments. It gives an overview of the theoretical concept which forms the foundation of the framework as well as short descriptions of two exemplary models based on experimental data. The heterogeneous agents are endowed with a number of attributes like cooperativeness and employ more or less complex heuristics during their decision-making processes. The attributes help to distinguish between agents, and the heuristics distinguish between behavioral classes. Through this design, agents can be modeled to behave like real humans and their decision making is observable and traceable, features that are important when agent-based models are to be used in collaborative planning or participatory model-building processes.
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Conference papers on the topic "Rational agent models"

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Vu, Le-Hung, and Karl Aberer. "Effective Usage of Computational Trust Models in Rational Environments." In 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2008. http://dx.doi.org/10.1109/wiiat.2008.172.

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Mattar, Luciano, and Bruno P. W. Reis. "Collective Action and Agent-Based Models: Adding Diversity to a Rational Choice Model." In 2010 Second Brazilian Workshop on Social Simulation (BWSS). IEEE, 2010. http://dx.doi.org/10.1109/bwss.2010.11.

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Wen, Ying, Yaodong Yang, and Jun Wang. "Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/58.

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Though limited in real-world decision making, most multi-agent reinforcement learning (MARL) models assume perfectly rational agents -- a property hardly met due to individual's cognitive limitation and/or the tractability of the decision problem. In this paper, we introduce generalized recursive reasoning (GR2) as a novel framework to model agents with different \emph{hierarchical} levels of rationality; our framework enables agents to exhibit varying levels of ``thinking'' ability thereby allowing higher-level agents to best respond to various less sophisticated learners. We contribute both
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Acet, Hakan, Zeynep Karaçor, and Özlem Alkan. "Macroeconomic Models: Assessment of the 2008 Financial Crisis in the Framework of Dynamic Stockastic General Equilibrium and Agent Based Modeling." In International Conference on Eurasian Economies. Eurasian Economists Association, 2018. http://dx.doi.org/10.36880/c10.02137.

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As a result of economic crisis occurred in the mid-1970s, the macroeconomic models that were exist at that time had been criticized about their validity, and then the dynamic Stochastic general equilibrium analysis had been developed accordingly. Dynamic Stochastic general equilibrium models, which combine microeconomic foundations by assuming that households or firms are behaving optimally with rational expectations against scarce resources, have been also criticized for their adequacy with the onset of the 2008 crisis. After this crisis, agent-based modeling attracted attention and started t
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Feng, Yunqing, Xuemei Li, and Ning Ma. "Research of Traffic Share in Different Models of Transport Based on the Agent Theory." In 2012 Joint Rail Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/jrc2012-74079.

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Passenger share research of different transport models will help the transport sector to develop a more rational operating strategy and provide an important basis for the future transport planning and construction. The development of the Agent theory provides a new direction for the simulation of the passenger share. In this paper, we use the Agent theory combining with the Genetic Algorithms to simulate the passenger share of the four travel modes (the High-speed rail, the common rail, the highways and the civil aviation) in the ShangHai-NanJing transport line. First, we consider each passeng
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Song, Shihong, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, and Jun Zhu. "Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/482.

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Learning rational behaviors in First-person-shooter (FPS) games is a challenging task for Reinforcement Learning (RL) with the primary difficulties of huge action space and insufficient exploration. To address this, we propose a hierarchical agent based on combined options with intrinsic rewards to drive exploration. Specifically, we present a hierarchical model that works in a manager-worker fashion over two levels of hierarchy. The high-level manager learns a policy over options, and the low-level workers, motivated by intrinsic reward, learn to execute the options. Performance is further im
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Kadri, Abdou Al-Rahim, Mohammad Mozaffari Kermani, Hamada Ghenniwa, and Weiming Shen. "Agent-Based Integration of Collaborative Mobile Environment and Smartboard." In ASME 2007 International Manufacturing Science and Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/msec2007-31177.

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Ubiquitous computing is a new emerging computing style which adapts various computing devices throughout our living and working spaces. These devices include mobile devices (such as PDAs, smartphones), traditional desktop, smart-board and so on. Mobile devices coordinate with each other and network services seamlessly, yet they are often inactive and even when in use they are most of the time disconnected from the network, which severely limits their use for ubiquitous interaction with the environment’s entities. In this paper we study the integration of Collaborative Mobile Environment (CoMoE
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Heuvelink, Annerieke, Michel C. A. Klein, and Jan Treur. "An Agent Memory Model Enabling Rational and Biased Reasoning." In 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2008. http://dx.doi.org/10.1109/wiiat.2008.274.

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Wang, Ying Daisy, Hamada Ghenniwa, Weiming Shen, and Yunjiao Xue. "Service-Oriented Coordinated Intelligent Rational Agent model for distributed information systems." In 2009 13th International Conference on Computer Supported Cooperative Work in Design. IEEE, 2009. http://dx.doi.org/10.1109/cscwd.2009.4968083.

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Wei, Zhang, Zhang Yong-jie, Xiong Xiong, and Jin Xi. "Behavioral Investors Versus Rational Investors: An Agent-based Computational Finance Model." In 2006 International Conference on Management Science and Engineering. IEEE, 2006. http://dx.doi.org/10.1109/icmse.2006.314254.

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