Evaluation of Cognitive Architectures Inspired by Cognitive Biases

Cognitive architectures are frequently built to model naturally intelligent behavior. This aims on two primary goals: On one hand these architectures model human behavior in order to give a better understanding of the human thought process. On the other hand cognitive architectures are an approach of modeling artificial intelligence. Those two goals might be conflicting, as humans sometimes act irrationally e.g. because they were cognitively biased. In this work, we analyze on a theoretical level whether cognitive architectures are also biased. Therefore we first abstract more general behavior from cognitive fallacies. Then we evaluate for the architectures Clarion, Leabra and Lida to what extent they can be biased.