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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Agent-Based Approaches in Economic and Social Complex Systems VII: Post-Proceedings of the Aescs International Workshop 2012

Agent-Based Approaches in Economic and Social Complex Systems VII: Post-Proceedings of the Aescs International Workshop 2012

Murata, Tadahiko
Takahashi, Shingo
Terano, Takao

Hardcover

Series: Agent-Based Social Systems, Book 10

ManagementGeneral ComputersGeneral Sociology

ISBN10: 4431542787
ISBN13: 9784431542780
Publisher: Springer Nature
Published: May 29 2013
Pages: 262
Weight: 1.14
Height: 0.84 Width: 6.37 Depth: 9.47
Language: English
Part 1 Fundamentals of Agent-Based Modeling 1) Agent-based Modeling and Simulation Validation by Scenario Analysis2) Aspiration-Based Learning to Balance Exploration and Exploitation in Organizational Learning3) Agent-Based Simulation of Diversity and Organizational Performance4) Configering Agents' Attributes with Simulated Annealing5) Money Emergence on a Network Topology6) The Agent-based Diffusion Model: Simulating: Informative and Normative Effects on Consumer Networks7) Agent-based Simulation Using a Model of Network Formation8) Firms interaction in a scale-free trade network and prices dynamics9) Analysis and Modeling of Customer-Perceived Value of Medical Insurance Products Part 2 Applications of Agent-Based Modeling 1) The Effects of Vaccination Strategies against Smallpox: Bioterrorism with Agent-based Simulation 2) Influence of Government Expenditure Policies and Tax Rate on GDP in an Agent-Based Artificial Economic System 3) The Role of Social Network in Migration and Economic Aggregation Through Brownian Agent Model 4) Agent-based Simulation for Pension System in Japan 5) The ASSA Project: An Intelligent Agent Simulation of Shop-Around Behavior 6) Extension of the iterative proportional fitting procedure and its evaluation using agent-based Models 7) An On-The-Fly Learning Framework for Fluctuating Number of Agents in a Multi-Agent System 8) Learning in do-it-yourself lottery with full information: a computational study​

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