Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Adaptive Trust and Co-operation: An Agent-Based Simulation Approach
Proceedings of the workshop on Deception, Fraud, and Trust in Agent Societies held during the Autonomous Agents Conference: Trust in Cyber-societies, Integrating the Human and Artificial Perspectives
Interorganizational Routines and Performance in Strategic Alliances
Organization Science
Distributed task allocation in social networks
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Decentralized reputation-based trust for assessing agent reliability under aggregate feedback
Trusting Agents for Trusting Electronic Societies
Simulating human-like decisions in a memory-based agent model
Computational & Mathematical Organization Theory
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In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex Adaptive Systems (CAS) paradigm to economics. In this paper, we apply the CAS paradigm to the study of an industrial goods market, where firms need to decide between making and buying components. Computer simulations using our model explain different emerging distributions of economic activity among organizational forms (market and hierarchy) in terms of the search problem facing the agents, and in terms of the negative consequences of the agents' search behavior on their perceived trustworthiness in the eyes of their potential partners. A further impediment to reaching optimal allocations we observe is that agents learn to protect themselves and their current allocation by being loyal and by focusing on their trust in their partner, rather than their partner's profit generating potential.