ECAgents: project funded by the Future and Emerging Technologies program (IST-FET) of the European Community under EU R&D contract IST1940. Bayesian model learning Concept and motivation Concept learning is the process by which an agent discovers concepts underlying its perceptions. We argue that concept learning = latent variable discovery FRAMEWORK: Bayesian model learning QUESTIONS: Does Bayesian model learning account for human performance? Does human performance follow the Bayesian model learner or the widely known associative learner?

ECAgents: project funded by the Future and Emerging Technologies program (IST-FET) of the European Community under EU R&D contract IST1940. Bayesian model learning Bayesian model learning & associative learning 1. looking for a parsimonious set of independent causes 2. ‘keep it simple’ – Automatic Occam’s Razor Bayesian model learnerAssociative learner

ECAgents: project funded by the Future and Emerging Technologies program (IST-FET) of the European Community under EU R&D contract IST1940. Bayesian model learning Orbán et al PNAS 1:6 2:6 1:2 3 x 1/6 = 1/21/6 + 2/6 = 1/2 } triplet singleton }} quad vs. Human learning can not be charcterized by an associative learner Humans perform similarly to a Bayesian learner Bayesian model learner Associative learner