Computational and mathematical organization theory: perspective and directions
Computational & Mathematical Organization Theory
Computational & Mathematical Organization Theory
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Adaptation on rugged landscapes
Management Science
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
WebBots, trust, and organizational science
Simulating organizations
Validating and docking: an overview, summary, and challenge
Simulating organizations
Simulation for the Social Scientist
Simulation for the Social Scientist
A Trajectory for Validating Computational Emulation Models of Organizations
Computational & Mathematical Organization Theory
The Dynamics of Cultural Influence Networks
Computational & Mathematical Organization Theory
Organizational Design, Information Transfer, and the Acquisition of Rent-Producing Resources
Computational & Mathematical Organization Theory
Dynamics of Organizations: Computational Modeling and Organization Theories
Dynamics of Organizations: Computational Modeling and Organization Theories
Imitation of Complex Strategies
Management Science
Modeling and Analyzing Cultural Influences on Project Team Performance
Computational & Mathematical Organization Theory
Validating Simulation Models: A General Framework and Four Applied Examples
Computational Economics
Computational & Mathematical Organization Theory
Disseminative capacity, organizational structure and knowledge transfer
Expert Systems with Applications: An International Journal
Opportunism by cheating and its effects on industry profitability. The CIOPS model
Computational & Mathematical Organization Theory
Different Truths in Different Worlds
Organization Science
Computational & Mathematical Organization Theory
Verification & validation by docking: a case study of agent-based models of Anopheles gambiae
Proceedings of the 2010 Summer Computer Simulation Conference
Computational & Mathematical Organization Theory
Evaluating integrated assessment models of global climate change
Environmental Modelling & Software
Docking Two Models of Insurgency Growth
International Journal of Operations Research and Information Systems
Communication and organizational social networks: a simulation model
Computational & Mathematical Organization Theory
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A computational laboratory is a “place” where we can: ask a question about an organization and its processes, build a computational experiment, design and conduct an experiment, and answer or comment on the question. The questions can be: what is, what might be, and what should be.Validation is a fundamental concern in science; the validity of a laboratory and model depends upon the question being addressed. A laboratory for a descriptive what is question may not be valid for a what should be design question.Docking—the alignment of two models—goes beyond validity. Docking juxtaposes two models to investigate whether they proceed in like manner or yield similar results. I argue that docking provides a guide in the use of different laboratories to address organization questions; and, further computational and non computational models can be docked to deepen and broaden our understanding of organization science.