Institute for Logic, Language and Computation

Key Themes

Cognitive Modelling

Some examples of our research in Cognitive Modeling are:

  • In the research on how humans process language, we have contributed by developing a series of pioneering models based on probabilistic grammars that show how humans can make use of statistics over previous language experiences to analyze the grammatical structure of new sentences. See, e.g., the book "Data-Oriented Parsing", by Bod, Scha & Sima'an (University of Chicago Press, 2003).
  • In the investigations on how human perceive music, we have developed models of beat perception, and collaborated with neuropsychologists to show that infants right after birth already perceive rhythm in musical stimuli and develop expectations about when the next beat should come. See, e.g., this paper in PNAS by Honing and co-workers.
  • In the research on human reasoning, we have developed a framework where logic in the broad sense, which includes notions like non-monotonicity and probability not found in classical logic, turns out to be very relevant for understanding empirical findings on supposed logical errors in human reasoning. See, e.g., the book "Human Reasoning and Cognitive Science" by Stenning and Van Lambalgen (MIT Press, 2008).