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Titlebook: Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming; Francesco Luna,Benedikt Stefansson Book 2000 Springe

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書(shū)目名稱Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming
編輯Francesco Luna,Benedikt Stefansson
視頻videohttp://file.papertrans.cn/302/301798/301798.mp4
叢書(shū)名稱Advances in Computational Economics
圖書(shū)封面Titlebook: Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming;  Francesco Luna,Benedikt Stefansson Book 2000 Springe
描述Computer simulations of economic systems are slowly gainingground within the economic profession. However, such a process ishindered by a lack of communication among researchers who do not sharea common language. For its object-oriented structure and itsversatility, Swarm has the necessary characteristics to become acredible universal language of agent-based simulations. ..Economic Simulations in Swarm. collects a series of originalarticles in such domains as macro and micro economics, industrialorganization, monetary theory, and finance, all linked by a commondenominator: the use of the Swarm simulation platform. .Swarm, a standard set of program libraries, allows users to constructsimulations where a collection of heterogeneous independent agents orelements interact through discrete events. This volume offers thefirst extensive tutorial to the use of these software librariesdeveloped at the Santa Fe Institute as part of the ongoing researchinto complexity. .The editors conceived the idea of this book while visiting the SantaFe Institute as members of the `Working Group on Adaptive andComputable Economics‘. Francesco Luna is a specialist in ComputableEconomics, and Benedikt Stefan
出版日期Book 2000
關(guān)鍵詞agents; economic systems; economics; human capital; industrial organization; modeling; monetary theory; sim
版次1
doihttps://doi.org/10.1007/978-1-4615-4641-2
isbn_softcover978-1-4613-7099-4
isbn_ebook978-1-4615-4641-2Series ISSN 0929-130X
issn_series 0929-130X
copyrightSpringer Science+Business Media New York 2000
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https://doi.org/10.1007/978-3-642-97429-8ork tool (Cross Target method), useful in building artificial laboratories, for experiments with learning, self-developed consistency and interaction of agents in artificial worlds, in order to observe the emergence of complexity without a priori behavioral rules.
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An Experimental Approach to the Study of Banking Intermediation: The Banknet Simulatorng any form of conjecturable constructive programmes. The continuing interaction among the agents is the evolutive engine, which, “from the bottom-up” makes it possible for the system to evolve over time through a selecting mechanism.
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https://doi.org/10.1007/978-3-658-02310-2vant to the solution of the model and to its asymptotic behaviour. Nevertheless, because of the presence of nonlinearities and stochastics, these results cannot fully characterize the proposed dynamical system; so, in order to fill this deficiency, we also carry out a numerical investigation by a Swarm based code.
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Ihre Sprache: Klartext sprechennventory costs to be reduced while maintaining acceptable order fulfillment cycle times. This is true because information, which provides the basis for enhanced coordination and reduced uncertainty, can substitute for inventory.
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