Adaptive Build-Up and Breakdown of Trust: An Agent-Based Computational Approach
CentER Discussion Paper No. 2005-39
29 Pages Posted: 21 Apr 2005
Date Written: revised version April 2006
Abstract
This article employs Agent-Based Computational Economics (ACE) to investigate whether, and under what conditions, trust is viable in markets.The emergence and breakdown of trust is modeled in a context of multiple buyers and suppliers.Agents develop trust in a partner as a function of observed loyalty. They select partners on the basis of their trust in the partner and potential profit.On the basis of realized profits, they adapt the weight they attach to trust relative to profitability, and their own trustworthiness, modeled as a threshold of defection.Trust turns out to be viable under fairly general conditions.
Keywords: Agent-based computational economics, inter-firm alliances, learning, transaction costs, governance, trust, complex adaptive systems
JEL Classification: C63, D23, L14, L22, L24
Suggested Citation: Suggested Citation