2005
DOI: 10.1016/j.jbusres.2004.04.005
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A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments

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Cited by 31 publications
(6 citation statements)
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“…It also potentially brings new methods to the table, from agent-based modeling to evolutionary computation (Beinhocker 2010;Lusch and Tay 2004). There has been some encouragement in economics and marketing to use complexity theory and computational science (Tesfatsion 2002;Rand and Rust 2011;Tay and Lusch 2005). These computational tools, when coupled with an S-D logic inspired model, can provide a new method for understanding and informing decisions and policies.…”
Section: Moving Forwardmentioning
confidence: 99%
“…It also potentially brings new methods to the table, from agent-based modeling to evolutionary computation (Beinhocker 2010;Lusch and Tay 2004). There has been some encouragement in economics and marketing to use complexity theory and computational science (Tesfatsion 2002;Rand and Rust 2011;Tay and Lusch 2005). These computational tools, when coupled with an S-D logic inspired model, can provide a new method for understanding and informing decisions and policies.…”
Section: Moving Forwardmentioning
confidence: 99%
“…Hunt (2000) assimilated a spectrum of economic ideas in his General Theory of Competition (HGTC) and provided a powerful theoretical explanation of why policymakers should promote and protect unencumbered markets. Hunt's theory is widely accepted and applied (for example, Tay and Lusch (2005) use it to model complex oligopolistic markets). It provides a nuanced explanation of how competitive markets promote innovation and create value.…”
Section: Theoretical Basis For the Turn To The Market In Uk Policymentioning
confidence: 99%
“…His work motivated a generation of scholars to use computerized models, usually agent-based simulations, in studying social and economic phenomenon. One example of agentbased models in economics is the work of Tay and Lusch [22]. However, the validity of agent-based simulations is questioned by scholars like Leombruni and Richiardi [23] because of hardship of interpreting it, and parameterization.…”
Section: Agent-based Modeling and Simulationmentioning
confidence: 99%