Lab Get involved Reasoning Lunch talks Papers Data+Code mReasoner nodus-ponens Open Science Framework SVN Repository Vita Contact Sangeet Khemlani Computational cognitive scientist at the US Naval Research Laboratory
It may require some effortful thinking and some background knowledge to construct a plausible explanation from scratch, so you need a good reason to do so. One of the most important reasons for why people generate explanations is to resolve inconsistencies. Previous research showed as much: when faced with some inconsistent causal information, reasoners spontaneously […] Continue reading
Phil Johnson-Laird and I have a new paper the describes a theory and computational model of how people reason about properties. The theory holds that people construct small-scale mental simulations of entities linked to their properties, and that the more mental simulations they build, the harder a problem will be. A computer model, mReasoner, simulates […] Continue reading