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Cognitive Modelling Challenge

Currently, there are at least twelve theories describing syllogistic reasoning (Khemlani & Johnson-Laird, 2012). These theories entail predictions which are partly mutually contradicting. Still, there is no established measurement to evaluate the theories in terms of criteria like explanatory power, response prediction and simplicity. Cognitive modelling is a recent field of computer science aiming at formally modelling human's responses to reasoning tasks. From these models, we expect to eventually gain insights into the actual cognitive mechanisms of human cognition. 

That is why we have established a benchmark incorporating key results from psychological experiments such as the percentage of the given response. In this year's challenge, we want you to program a model which predicts the response data from human participants. To evaluate different cognitive models several accepted methods from mathematical psychology and artificial intelligence exist. Theory predictions can be modeled by multinomial process trees (e.g., Oberauer 2006; Klauer et al., 2007; Ragni et al., 2014). The model itself can be modeled by using AIC, BIC, and Fishers Information Approximation. These can be with small effort evaluated using packages in R like MPTinRWe will evaluate the models and determine a winner. 


Conditional Reasoning

Syllogistic Reasoning

Relational Reasoning



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