Would-be worlds: how simulation is changing the frontiers of science
Would-be worlds: how simulation is changing the frontiers of science
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Simulating emergence and downward causation in small groups
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Business Dynamics
Simulation for the Social Scientist
Simulation for the Social Scientist
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
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Increasing usage of computer simulation as a method of pursuing science makes methodological reflection immanently important. After discussing relevant philosophical positions Winsberg's view of simulation modeling is adapted to conceptualize simulation modeling as an abductive way of doing science. It is proposed that two main presuppositions determine the outcome of a simulation: theory and methodology. The main focus of the paper is on the analysis of the role of simulation methodologies in simulation modeling. The fallacy of applying an inadequate simulation methodology to a given simulation task is dubbed `abductive fallacy'. In order to facilitate a superior choice of simulation methodology three respects are proposed to compare System Dynamics and Agent-based Modeling: structure, behavior and emergence. These respects are analyzed on the level of the methodology itself and verified in case studies of the WORLD3-model and the Sugarscape model.