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Abstract
This article discusses an alternative approach in analyzing and modelling consumer decision processes: decision tables. Decision tables represent means of formalizing choice rules or heuristics. The focus of this approach thus is not on quantitative, probabilistic relationships between a set of explanatory variables and choice probabilities but on a set of conditions and states that lead to particular actions. Decision tables have therefore been primarily used in the context of rule-based simulation models of consumer choice behaviour.