Complex Social and Behavioral Systems : Game Theory and Agent-Based Models / edited by Marilda Sotomayor, David Pérez-Castrillo, Filippo Castiglione.
2020
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Title Complex Social and Behavioral Systems : Game Theory and Agent-Based Models / edited by Marilda Sotomayor, David Pérez-Castrillo, Filippo Castiglione.
Edition 1st ed. 2020.
ISBN 9781071603680
107160368X
1071603698
9781071603697
DOI https://doi.org/10.1007/978-1-0716-0
Published New York, NY : Springer US, 2020 ; Imprint Springer.
Language English
Description 1 online resource illustrations.
Other Standard Identifiers 10.1007/978-1-0716-0
Summary 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.
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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.

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