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A C++ PLATFORM FOR THE EVOLUTION OF TRADE NETWORKS AgEcon
McFadzean, David; Tesfatsion, Leigh.
This paper presents a general C++ platform for the implementation of a trade network game (TNG) that combines evolutionary game play with preferential partner selection. In the TNG, successive generations of resource constrained traders choose and refuse trade partners on the basis of continually updated expected payoffs, engage in risky trades modelled as two-person games, and evolve their trade strategies over time. The modular design of the TNG platform facilitates experimentation with alternative specifications for market structure, trade partner matching, trading, expectation formation, and trade strategy evolution. The TNG platform can be used to study the evolutionary implications of these specifications at three different levels: individual...
Tipo: Working or Discussion Paper Palavras-chave: C++ platform; Trade networks; Evolutionary game; Partner matching; Endogenous interactions; Agent-based computational economics; Artificial life; International Relations/Trade.
Ano: 1996 URL: http://purl.umn.edu/18192
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A COMPUTATIONAL LABORATORY FOR EVOLUTIONARY TRADE NETWORKS AgEcon
Tesfatsion, Leigh; Stewart, Deron; McFadzean, David.
This study presents, motivates, and illustrates the use of a computational laboratory for the investigation of evolutionary trade network formation among strategically interacting buyers, sellers, and dealers. The computational laboratory, referred to as the Trade Network Game Laboratory (TNG Lab), is targetted for the Microsoft Windows desktop. The TNG Lab is both modular and extensible and has a clear, easily operated graphical use interface. It permits visualization of the formation and evolution of trade networks by means of real-time animations. Data tables and charts reporting descriptive performance statistics are also provided in real time. The capabilities of the TNG Lab are demonstrated by means of labor market experiments.
Tipo: Working or Discussion Paper Palavras-chave: Computational laboratory; Buyer-seller trade networks; Evolutionary game; Network animation; Agent-based computational economics; C++ class framework; Labor market experiments; International Relations/Trade.
Ano: 2000 URL: http://purl.umn.edu/18199
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EX ANTE CAPACITY EFFECTS IN EVOLUTIONARY LABOR MARKETS WITH ADAPTIVE SEARCH AgEcon
Tesfatsion, Leigh.
For a postscript copy of this paper, click <a href="/Data/isu/er48.ps"> here. </A> This study reports on computational experiments for an agent-based labor market model with adaptive choice and refusal of worksite partners and with endogenously evolving worksite behaviors. Two treatment factors are experimentally varied: market structure; and ex ante capacity constraints on potential work offers and job openings. Particular attention is focused on experimentally determined correlations between treatment factors and the formation of contractual networks among workers and employers, and between contractual network formation and the types of worksite interactions and welfare outcomes that these contractual networks support.
Tipo: Working or Discussion Paper Palavras-chave: Labor markets; Search and matching; Contractual networks; Adaptation; Evolutionary game; Agent-based computational economics; C++ source code; Labor and Human Capital.
Ano: 1998 URL: http://purl.umn.edu/18198
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GALE-SHAPLEY MATCHING IN AN EVOLUTIONARY TRADE NETWORK GAME AgEcon
Tesfatsion, Leigh.
For a postscript copy of this paper, click <a href="/Data/isu/er43.ps"> here. </A> This study investigates the performance of Gale-Shapley matching in an evolutionary market context. Computational experimental findings are reported for an evolutionary match-and-play trade network game in which resource-constrained traders repeatedly choose and refuse trade partners in accordance with Gale-Shapley matching, participate in risky trades modelled as two-person prisoner's dilemma games, and evolve their trade behavior over time. Particular attention is focused on correlations between ex ante market structure and the formation of trade networks, and between trade network formation and the types of trade behavior and social welfare outcomes that...
Tipo: Working or Discussion Paper Palavras-chave: Evolutionary game; Gale-Shapley matching; Iterated prisoners' dilemma; Trade networks; Endogenous interactions; Agent-based computational economics; International Relations/Trade; C7; C8; C9; D8; D4.
Ano: 1998 URL: http://purl.umn.edu/18200
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HYSTERESIS IN AN EVOLUTIONARY LABOR MARKET WITH ADAPTIVE SEARCH AgEcon
Tesfatsion, Leigh.
This study undertakes a systematic experimental investigation of hysteresis (path dependency) in an agent-based computational labor market framework. It is shown that capacity asymmetries between work suppliers and employers can result in two distinct hysteresis effects, network and behavioral, when work suppliers and employers interact strategically and evolve their worksite behaviors over time. These hysteresis effects result in persistent heterogeneity in earnings and employment histories across agents who have no observable structural differences. At a more global level, these hysteresis effects are shown to result in a one-to-many mapping between treatment factors and experimental outcomes. These hysteresis effects may help to explain why excess...
Tipo: Working or Discussion Paper Palavras-chave: Labor markets; Network hysteresis; Behavioral hysteresis; Capacity asymmetries; Agent-based computational economics; Labor and Human Capital.
Ano: 1999 URL: http://purl.umn.edu/18189
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MARKET POWER AND EFFICIENCY IN A COMPUTATIONAL ELECTRICITY MARKET WITH DISCRIMINATORY DOUBLE-AUCTION PRICING AgEcon
Tesfatsion, Leigh; Petrov, Valentin; Nicolaisen, James.
This study reports experimental market power and efficiency outcomes for a computational wholesale electricity market operating in the short run under systematically varied concentration and capacity conditions. The pricing of electricity is determined by means of a clearinghouse double auction with discriminatory midpoint pricing. Buyers and sellers use a modified Roth Erev individual reinforcement learning algorithm to determine their price and quantity offers in each auction round. It is shown that high market efficiency is generally attained, and that market microstructure is strongly predictive for the relative market power of buyers and sellers independently of the values set for the reinforcement learning parameters. Results are briefly compared...
Tipo: Working or Discussion Paper Palavras-chave: Wholesale electricity market; Restructuring; Repeated double auction; Market power; Efficiency; Concentration; Capacity; Individual reinforcement learning; Genetic algorithm social learning; Agent-based computational economics; Industrial Organization.
Ano: 2000 URL: http://purl.umn.edu/18195
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STRUCTURE, BEHAVIOR, AND MARKET POWER IN AN EVOLUTIONARY LABOR MARKET WITH ADAPTIVE SEARCH AgEcon
Tesfatsion, Leigh.
This study uses an agent-based computational labor market framework to undertake a systematic experimental investigation of the relationship between job capacity, job concentration, and market power. Job capacity is measured by the ratio of total potential job openings to total potential work offers, and job concentration is measured by the ratio of work suppliers to employers. For each setting of the capacity and concentration treatment factors, work suppliers and employers repeatedly seek preferred worksite partners based on continually updated expected utility, engage in efficiency-wage worksite interactions modelled as prisoner's dilemma games, and evolve their worksite behaviors over time. The main finding is that job capacity consistently trumps...
Tipo: Working or Discussion Paper Palavras-chave: Labor market dynamics; Market power; Job capacity; Job concentration; Adaptive search; Networks; Endogenous interactions; Agent-based computational economics; Evolutionary game; Labor and Human Capital.
Ano: 1999 URL: http://purl.umn.edu/18197
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