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140122 ||| eng |
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|a 9784431539575
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|a Deguchi, H.
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|a Economics as an Agent-Based Complex System
|h Elektronische Ressource
|b Toward Agent-Based Social Systems Sciences
|c by H. Deguchi
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|a 1st ed. 2004
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|a Tokyo
|b Springer Japan
|c 2004, 2004
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|a XIII, 261 p
|b online resource
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|a 9.1 Platform Concept -- 9.2 Platform Externality -- 9.3 Model of Platform Externality and Lock In -- 9.4 Bifurcation Analysis of Social Learning Dynamics -- 9.5 Platform Goods and Technological Innovation -- 9.6 Cultural Platforms -- References
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|a 6.3 Classification of Transactions -- 6.4 National Economic Field: Aggregation -- 6.5 National Economic Field and Bottom Up Reconstruction of SNA -- 6.6 Integrated National Economic Field -- 6.7 Conclusion -- 7 Gaming Simulation and the Dynamics of a Virtual Economy -- Aim of This Chapter -- 7.1 Introduction -- 7.2 Assumption of Virtual Economy Gaming -- 7.3 Three Types of Gaming Simulation for a Virtual Economy -- 7.4 Multi Player's Gaming Model -- 7.5 The Failure and Success of Economic Growth by Gaming -- 7.6 A Multiplier Analysis of a Virtual Economy -- 7.7 Agent Based Simulation of Bird's Eye View Model -- 7.8 Long Term Growth Path -- 7.9 Conclusion -- 8 Network Oriented Industrial Structures -- Aim of This Chapter -- 8.1 What Is a Network? -- 8.2 Industrial Networks in the Software Industry -- 8.3 Networks of Medium and Small Enterprises -- 8.4 The Merits of a Network and Networks of Medium and Small Companies -- Notes -- 9 Learning Dynamics in Platform Externality --
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|a Preface -- 1 Systems Description and Models in Economics -- Purpose of This Chapter -- 1.1 A Systems Description of Economics Systems -- 1.2 Paradigm Shift -- 1.3 Conception of This Book -- 1.4 Methodological Issue -- 1.5 Three Types of Realities -- 1.6 Beyond the Systems View of Natural Science -- 1.7 An Epistemological Framework for a Poly Agent System -- 2 Mathematical Research of Evolution and Structural Change -- -Social Learning Dynamics and Its Bifurcation- -- Aim of This Chapter -- 2.1 Structural Change and Bifurcation in Social Sciences -- 2.2 Game Theory and Evolutionary Games -- 2.3 Social Learning Dynamics -- 2.4 Asymmetrical Social Learning Dynamics -- 3 A Social and Organizational Learning Model of Decision Making -- -Application of SLD and Agent Based Simulation- -- Purpose of This Chapter -- 3.1 Indirect Control -- 3.2 Norm Formation, Mutual Commitment and Structural Change -- 3.3 Social Learning Dynamics of the Norm Game --
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|a 3.4 Centralized and Hierarchical Commitment and Support -- 3.5 The Historical Change of Social Commitment Structure -- 3.6 Commitment and Learning Rationality -- 4 The Tragedy of the Commons and Its Agent Based and Gaming Modeling -- Aim of This Chapter -- 4.1 Gaming Simulation and ABM -- 4.2 Environment Management Gaming -- 4.3 How to Play Environment Management Gaming -- 4.4 The Facilitator's Guide of Environment Management Gaming -- 4.5 Human Gaming Simulation of the Commons -- 4.6 Agent Based Simulation and Classifier -- 4.7 Agent Based Simulation of the Commons -- 4.8 Agent Based Simulation of the Commons -- 5 State Space Complexity and Exchange Algebra -- Purpose of This Chapter -- 5.1 Introduction -- 5.2 Axiomatic Foundation of Economic Exchange -- 5.3 Exchange Algebra -- 5.4 Concluding Remarks -- 6 The National Economic Field and Algebraic Reconstruction of SNA -- Aimof This Chapter -- 6.1 The Virtual Economy -- 6.2 The Structure of Economic Field and SNA --
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|a Complex Systems
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|a Applied Dynamical Systems
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|a System theory
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|a Nonlinear theories
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|a Quantitative Economics
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|a Mathematical physics
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|a Econometrics
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|a Theoretical, Mathematical and Computational Physics
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|a Dynamics
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|a eng
|2 ISO 639-2
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|b SBA
|a Springer Book Archives -2004
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|a 10.1007/978-4-431-53957-5
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|u https://doi.org/10.1007/978-4-431-53957-5?nosfx=y
|x Verlag
|3 Volltext
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|a 330.9
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|a In agent-based modeling the focus is very much on agent-based simulation, as simulation is a very important tool for agent-based modeling. We also use agent-based simulation in this book with a stress on the mathematical foundation of agent-based modeling. We introduce two original mathematical frameworks, a theory of SLD (Social Learning Dynamics) and an axiomatic theory of economic exchange (Exchange Algebra) among agents. Exchange algebra gives bottom-up reconstruction of SNA (System of National Accountings). SLD provides the concept of indirect control of socio-economic systems to manage structural change and its stability. We also compare agent-based simulation with gaming simulation and investigate the epistemological foundation of agent-based modeling
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