Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Computational organization theory
Computational organization theory
ACTS theory: extending the model of bounded rationality
Computational organization theory
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Business Dynamics
Proceedings of the 35th conference on Winter simulation: driving innovation
The Wealth of Nations
Data farming coevolutionary dynamics in RePast
WSC '04 Proceedings of the 36th conference on Winter simulation
Data farming coevolutionary dynamics in RePast
WSC '04 Proceedings of the 36th conference on Winter simulation
Modeling organizational adaptation: a replication of Levinthal's model of emergent order
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Agent-Based modelling and simulation: examples from competitive market and group dynamics
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Proceedings of the Winter Simulation Conference
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We describe research intended to build an agent-based model that is "organizationally realistic." By this we mean that the attributes of the artificial organization of agents conform to empirical results for human organizational systems. We build upon the definitional structure of computational organization theory (Carley and Prietula 1994b) and represent an organization as a network of agents, tasks, resources, and knowledge (Krackhardt and Carley 1998). We do not assume an a priori design requirement. Rather, organizational structures are posited to emerge endogenously, the particulars being a key area of study. Agent interactions are governed by local network dynamics, agent-specific rules, and explicit universal constraints (Hazy and Tivnan 2003).