Klaus G. Troitzsch

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This paper discusses aspects of validating simulation models designed to describe, explain and predict realworld phenomena. It starts with a short review of arguments used in the simsoc mailing list discussion on theory, simulation and explanation a few months ago, deals with the use of quantitative and qualitative computational models to make quantitative(More)
This short comment on Epstein's (2008) paper and on the response by Thompson and Derr (2008) argues that the symmetry between explanation and prediction cannot satisfactorily be discussed without making clear what prediction means—depending on which connotations the authors have with 'prediction' their arguments can or cannot be accepted. 1.1 Both Epstein(More)
This paper describes three fundamental pitfalls or caveats of empirical modeling of land-use decision making in agent-based models for land-use/cover change. A case study in the villages of Jambi Province (Sumatra), Indonesia, is presented to demonstrate the construction of empirical decision-making models using utility functions while taking into account(More)
Social simulation is often described as a multidisciplinary and fast-moving field. This can make it difficult to obtain an overview of the field both for contributing researchers and for outsiders who are interested in social simulation. The Journal for Artificial Societies and Social Simulation (JASSS) completing its tenth year provides a good opportunity(More)