Abstract
In this chapter the author compares two specific computational models of human reasoning with preferred layout models, one based on visual images and the other on abstract spatial representations. This benchmark test concludes that the image-based simulation is likely to have relevance for the occurrence of visual images during premise processing, but the spatial account explains the computational processes underlying human reasoning in a better and comprehensive way. The chapter also discusses the PRISM model (preferred inferences in reasoning with spatial mental models), which simulates all three phases of an inference in a comprehensive way and maps spatial working memory to a symbolic spatial array. The PRISM model is also helpful in predicting which spatial layout model is preferably constructed.
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