A computational laboratory for evolutionary trade networks

McFadzean, David; Stewart, Deron; Tesfatsion, Leigh

doi:10.1109/4235.956717

Cited by 31 publications

(15 citation statements)

References 6 publications

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“…Thus, as users gain more experience and confidence, they can begin to experiment with alternative module implementations to broaden the range of system applications encompassed by the CL. 10 For example, McFadzean et al [65] have developed a CL designed specifically for the study of trade network formation in a variety of market contexts. This CL, referred to as the Trade Network Game (TNG) Lab, comprises buyers, sellers, and dealers who repeatedly search for preferred trade partners, engage in risky trades modeled as noncooperative games, and evolve their trade strategies over time.…”

Section: Building Ace Computational Laboratoriesmentioning

confidence: 99%

Agent-Based Computational Economics: Growing Economies From the Bottom Up

2002

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Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Thus, ACE is a specialization of economics of the basic complex adaptive systems paradigm. This study outlines the main objectives and defining characteristics of the ACE methodology and discusses similarities and distinctions between ACE and artificial life research. Eight ACE research areas are identified, and a number of publications in each area are highlighted for concrete illustration. Open questions and directions for future ACE research are also considered. The study concludes with a discussion of the potential benefits associated with ACE modeling, as well as some potential difficulties.

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Section: Building Ace Computational Laboratoriesmentioning

confidence: 99%

Agent-Based Computational Economics: Growing Economies From the Bottom Up

2002

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“…The CL comprises buyers, sellers, and dealers who repeatedly search for preferred trade partners, engage in risky trades modeled as non-cooperative games, and evolve their trade strategies over time. The architecture, capabilities and usefulness of the TNG Lab is introduced in [8]. Finally, the capabilities of the TNG Lab are demonstrated by means of labor-market experiments.…”

Section: B Multi-agent Modeling and Simulationmentioning

confidence: 99%

Multi-agent Modeling and Analysis for E-Commerce Transaction Network Based on CAS Theory

Piao

Han

Zhang

2009

2009 IEEE International Conference on E-Business Engineering

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Complex adaptive system (CAS) theory is used to analyze the e-commerce system and the concept of e-commerce transaction network is proposed. The e-commerce transaction network can be viewed as a complex network which is constructed by transaction behaviors between buyers and sellers.Then we give a formal definition of the e-commerce transaction network and establish a multi-agent model for e-commerce transaction network. Based on the transaction rules defined, the agent-based modeling toolkit Repast S is adopted to generate the e-commerce transaction network. The generated network is divided into three 2-mode networks that are buyer-product, seller-product and buyer-seller networks; each of them is transformed into two 1-mode networks respectively. Pajek is used to graphically show the relationships among the agents in the transaction network. The concepts of degree centrality and betweenness centrality in social network analysis are used to analyze the derived 1-mode networks, and the positions of the buyers, sellers and products in the transaction network can be determined visually. Such an approach for analyzing transaction network can be used for knowledge discovery and personalized recommendation in e-commerce.

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“…Compared with previous research, what is new about ACE is its exploitation of powerful new computational tools, most notably object oriented programming [6]. At present, ACE has been already applied broadly to marketplace formation [7], financial market evolution [8], stock market simulation [9,10], exchange network formation [11,12] and so on.…”

Section: Introductionmentioning

confidence: 99%

Influence of information search cost on technology transfer based on multi-agent system

2009

2009 16th International Conference on Industrial Engineering and Engineering Management

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To establish cooperation between universities and enterprises is an important way to realize technology transfer. In reality there are many universities and enterprises, and the process of technology transfer is very complex. Thus it is difficult to resolve the multi-participant game problem through traditional economics method. Based on multi-agent system (MAS) thought and method, evolvement system, which consists of many self determination and interaction agents, is set up to simulate the process of technology transfer from universities to enterprises. In the end of the paper, through a series of computational experimentations, conclusion is found that more choice chance and less information search cost are necessary conditions of technology transfer.

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A computational laboratory for evolutionary trade networks

Cited by 31 publications

References 6 publications

Agent-Based Computational Economics: Growing Economies From the Bottom Up

Agent-Based Computational Economics: Growing Economies From the Bottom Up

Multi-agent Modeling and Analysis for E-Commerce Transaction Network Based on CAS Theory

Influence of information search cost on technology transfer based on multi-agent system

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