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Economics - Economic Theory | Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming

Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming

Luna, Francesco, Stefansson, Benedikt (Eds.)

2000, XXXVI, 291 p.

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Computer simulations of economic systems are slowly gaining ground within the economic profession. However, such a process is hindered by a lack of communication among researchers who do not share a common language. For its object-oriented structure and its versatility, Swarm has the necessary characteristics to become a credible universal language of agent-based simulations.
Economic Simulations in Swarm collects a series of original articles in such domains as macro and micro economics, industrial organization, monetary theory, and finance, all linked by a common denominator: the use of the Swarm simulation platform.
Swarm, a standard set of program libraries, allows users to construct simulations where a collection of heterogeneous independent agents or elements interact through discrete events. This volume offers the first extensive tutorial to the use of these software libraries developed at the Santa Fe Institute as part of the ongoing research into complexity.
The editors conceived the idea of this book while visiting the Santa Fe Institute as members of the `Working Group on Adaptive and Computable Economics'. Francesco Luna is a specialist in Computable Economics, and Benedikt Stefansson is an active contributor to the Swarm community.

Content Level » Research

Keywords » agents - economic systems - economics - human capital - industrial organization - modeling - monetary theory - simulation - simulations

Related subjects » Economic Theory

Table of contents 

List of Figures. List of Tables. Preface. Contributing Authors. Introduction; F. Luna, B. Stefansson. Part I: The Grammar. 1. Simulating Economic Agents in Swarm; B. Stefansson. 2. Installation: An Appendix; A. Perrone. Part II: ... and Some Prose. 3. Economic Experiments with Swarm: a Neural Network Approach to the Self-Development of Consistency in Agents' Behavior; P. Terna. 4. Endogenous Growth in a Swarm Economy; C. Bruun, F. Luna. 5. Imitative Behaviour in Tax Evasion; L. Mittone, P. Patelli. 6. An Experimental Approach to the Study of Banking Intermediation: the BankNet Simulator; M.D. Sapienza. 7. Numerical Modeling, Noise Traders, and the Swarm Simulation System; T.E. Jares. 8. Nonlinear Stochastic Dynamics for Supply Counterfeiting in Monopolistic Markets; M. Corazza, A. Perrone. 9. Using Swarm for Simulating the Order Fulfillment Process in Divergent Assembly Supply Chains; F. Lin, et al. 10. Online Supply Chain Modeling and Simulation; C. Schlueter-Langdon, et al. 11. The Coevolution of Human Capital and Firm Structure; F. Luna, A. Perrone. Index.

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