Computational organization theory
Computational organization theory
Computational and mathematical organization theory: perspective and directions
Computational & Mathematical Organization Theory
Adaptation on rugged landscapes
Management Science
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Simulating organizations: computational models of institutions and groups
Simulating organizations: computational models of institutions and groups
Computational organization theory
Multiagent systems
Organizational Cognition: Computation and Interpretation
Organizational Cognition: Computation and Interpretation
Reputation in Artificial Societies: Social Beliefs for Social Order
Reputation in Artificial Societies: Social Beliefs for Social Order
Organizational Structure and Firm Innovation in a Retail Chain
Computational & Mathematical Organization Theory
Organizations and Complexity: Searching for the Edge of Chaos
Computational & Mathematical Organization Theory
Sociology and Social Theory in Agent Based Social Simulation: A Symposium
Computational & Mathematical Organization Theory
Learning to Be Thoughtless: Social Norms and Individual Computation
Computational Economics
Landscape Design: Designing for Local Action in Complex Worlds
Organization Science
Evolution of Organizational Performance and Stability in a Stochastic Environment
Computational & Mathematical Organization Theory
Computational Laboratories for Organization Science: Questions, Validity and Docking
Computational & Mathematical Organization Theory
Computational & Mathematical Organization Theory
Technological Advances, Transaction Costs, and Consumer Welfare
Marketing Science
Cognition and Multi-Agent Interactions: From Cognitive Modeling to Social Simulation
Cognition and Multi-Agent Interactions: From Cognitive Modeling to Social Simulation
Simulation for the Social Scientist
Simulation for the Social Scientist
Feasibility of multi-agent simulation for the trust and tracing game
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics (Handbook of Computational Economics)
Can tools help unify organization theory? Perspectives on the state of computational modeling
Computational & Mathematical Organization Theory
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
Analysis of cluster formations on planer cells based on genetic programming
Computational & Mathematical Organization Theory
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CIOPS (Cognitive Inter-organizational Production System) is an agent-based model that integrates industry structural aspects and agents' cognitive characteristics. A demand-driven industry, whose profitability depends on the quality of suppliers' products, is represented by a three-stage vertically integrated industry. Four types of decision-making patterns are analyzed and confronted each other: from the simplest one (random choice) to the most complex one, which includes direct and indirect experience and reputation. They operate as selection devices supporting agents to select the best suppliers. Requiring agents' communication, indirect experience and reputation could be influenced by eventual opportunist behaviors. As the disturbing effect of falsity depends also on the size of decision and information space, the CIOPS model simulates different situations. Even though submitted to some restrictive assumptions, by testing five groups of hypotheses CIOPS model enables to fix many points that could be tested by empirical data and further developed by relaxing the assumptions. Results show that, especially in presence of reputation-based trust, cheating attitude severely damages industry profitability and the enlargement of information space dramatically strengthens the negative effects. Though indirect experience and reputation-based trust are powerful tools to improve industry profitability, when people cheat they dramatically reverses its effects. A sharp performance diversity is also evidenced between industry segments, because firms in the first tiers segment, who are also the suppliers of final producers, perform much better and more efficiently than final producers. Though industry size growth determines the negative effect of reducing performance, it produces the positive effect of shortening the time to reach the highest profitability and to stabilize it. Finally, it is also demonstrated that cheating half times determines almost the same negative impact of cheating always.