Capturing Complexity Through Agent-Based Models and the Quest for the Enterprise

113 Pages Posted: 22 Aug 2007

Date Written: November 23, 2006

Abstract

Identify the mechanism that creates organizations and structures in the social realm represent a useful approach to capture the complexity of economic systems. Indeed, the use of simulation techniques can help in understanding the dynamics of the system while fully preserving the complexity of the context. This research has the goal of employing agent based models to simulate a single enterprise or a system of enterprises (e.g. within a network or in a market). This Ph.D. thesis tries to explore how markets institutions and organizations can arise from processes of coordination, or laws of organization, that are fundamentally the same universal laws of economic coordination that apply within and across the layers of organizational structure in the economy.

Keywords: Complexity, Agent Based, Computational Economics, Coordination, Emergence, Social Network

JEL Classification: C63, D20, L20

Suggested Citation

Lamieri, Marco, Capturing Complexity Through Agent-Based Models and the Quest for the Enterprise (November 23, 2006). Available at SSRN: https://ssrn.com/abstract=1008755 or http://dx.doi.org/10.2139/ssrn.1008755

Marco Lamieri (Contact Author)

Intesa SanPaolo SpA ( email )

Piazza S. Carlo, 156
Torino, 10121
Italy

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