06835nam 22008295 450 991042092610332120250612110030.09781071603680107160368X10.1007/978-1-0716-0368-0(CKB)4100000011392450(MiAaPQ)EBC6320235(DE-He213)978-1-0716-0368-0(MiAaPQ)EBC6316589(MiAaPQ)EBC31851778(EXLCZ)99410000001139245020200820d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComplex Social and Behavioral Systems Game Theory and Agent-Based Models /edited by Marilda Sotomayor, David Pérez-Castrillo, Filippo Castiglione1st ed. 2020.New York, NY :Springer US :Imprint: Springer,2020.1 online resource (940 pages) illustrationsEncyclopedia of Complexity and Systems Science Series9781071603673 1071603671 Includes bibliographical references and index.Part I Game Theory -- Game Theory, Introduction to -- Cooperative Games -- Cooperative Games (von Neumann–Morgenstern Stable Sets) -- Cost Sharing -- Fair Division -- Two-Sided Matching Models -- Networks and Stability -- Market Games and Clubs -- Voting -- Voting Procedures, Complexity of -- Social Choice Theory -- Static Games -- Game Theory and Strategic Complexity -- Zero-Sum Two Person Games -- Differential Games -- Bayesian Games: Games with Incomplete Information -- Correlated Equilibria and Communication in Games -- Signaling Games -- Auctions -- Repeated Games with Complete Information -- Repeated Games with Incomplete Information -- Reputation Effects -- Learning in Games -- Dynamic Games with an Application to Climate Change Models -- Evolutionary Game Theory -- Stochastic Games -- Implementation Theory -- Mechanism Design -- Market Design -- Principal-Agent Models -- Inspection Games -- Experimental Games -- Part II Agent Based Modeling and Simulation -- Agent Based Modeling and Simulation, Introduction to -- Agent Based Modeling and Simulation -- Embodied and Situated Agents, Adaptive Behavior in -- Swarm Intelligence -- Agent-Based Modeling and Artificial Life -- Interaction Based Computing in Physics -- Cellular Automaton Modeling of Tumor Invasion -- Agent Based Computational Economics -- Social Phenomena Simulation -- Computer Graphics and Games, Agent Based Modeling in -- Agent Based Modeling, Large Scale Simulations -- Agent Based Modeling for Multi-scale systems -- Agent Based Modeling, Mathematical Formalism for -- Logic and Geometry of Agents in Agent-Based Modeling -- Agent-Based Modeling and Computer.This volume in the Encyclopedia of Complexity and Systems Science, Second Edition, combines the main features of Game Theory, covering most of the fundamental theoretical aspects under the cooperative and non-cooperative approaches, with the procedures of Agent-Based Modeling for studying complex systems composed of a large number of interacting entities with many degrees of freedom. In Game Theory, the cooperative approach focuses on the possible outcomes of the decision-makers’ interaction by abstracting from the "rational" actions or decisions that may lead to these outcomes. The non-cooperative approach focuses on the actions that the decision-makers can take. As John von Neumann and Oskar Morgenstern argued in their path-breaking book of 1944 entitled Theory of Games and Economic Behavior, most economic questions should be analyzed as games. The models of game theory are abstract representations of a number of real-life situations and have applications to economics, political science, computer science, evolutionary biology, social psychology, and law among others. Agent-Based Modeling (ABM) is a relatively new computational modeling paradigm which aims to construct the computational counterpart of a conceptual model of the system under study on the basis of discrete entities (i.e., the agent) with some properties and behavioral rules, and then to simulate them in a computer to mimic the real phenomena. Given the relative immaturity of this modeling paradigm, and the broad spectrum of disciplines in which it is applied, a clear cut and widely accepted definition of high level concepts of agents, environment, interactions and so on, is still lacking. This volume explores the state-of-the-art in the development of a real ABM ontology to address the epistemological issues related to this emerging paradigm for modeling complex systems. .Encyclopedia of Complexity and Systems Science SeriesGame theorySocial sciences—Data processingSocial sciences—Computer programsOperations researchDecision makingComputer simulationStatistical physicsDynamicsGame Theory, Economics, Social and Behav. Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13011Game Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/W29020Computational Social Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/X34000Operations Research/Decision Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/521000Simulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Complex Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/P33000Game theory.Social sciences—Data processing.Social sciences—Computer programs.Operations research.Decision making.Computer simulation.Statistical physics.Dynamics.Game Theory, Economics, Social and Behav. Sciences.Game Theory.Computational Social Sciences.Operations Research/Decision Theory.Simulation and Modeling.Complex Systems.519.3Sotomayor Marildaedthttp://id.loc.gov/vocabulary/relators/edtPérez-Castrillo Davidedthttp://id.loc.gov/vocabulary/relators/edtCastiglione Filippoedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910420926103321Complex Social and Behavioral Systems2079088UNINA