Adam Sanborn (Assistant Professor)

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Interests:

Explaining human categorisation and perception as rational behaviour

Examining how people use approximate solutions in difficult cognitive tasks

Methods for data collection and analysis

Research

Publications

 

Representative Publications:

  • Sanborn, A. N., Griffiths, T. L., & Navarro, D. J. (2010). Rational approximations to rational models: Alternative algorithms for category learning. Psychological Review, 117, 1144-1167.

  • Sanborn, A. N., Griffiths, T. L., & Shiffrin, R. M. (2010). Uncovering mental representations with Markov chain Monte Carlo. Cognitive Psychology, 60, 63-106.

  • Heller, K., Sanborn, A. N., & Chater, N. (2009). Hierarchical learning of dimensional biases in human categorization. In J. Lafferty & C. Williams (Eds) Advances in Neural Information Processing Systems 22. Cambridge, MA: MIT Press.

  • Sanborn, A. N. & Silva, R. (2009). Belief propagation and locally Bayesian learning. Proceedings of the 31st Annual Conference of the Cognitive Science Society.

  • Sanborn, A. N., Mansinghka, V. K., & Griffiths, T. L. (2009). A Bayesian framework for modeling intuitive dynamics. Proceedings of the 31st Annual Conference of the Cognitive Science Society.

 

Supervisor to:
Takao Noguchi 

 

 

Tel:

(024) 761 51354

Fax:

(024) 765 24225

Room No:

H115

Email:

A dot N dot Sanborn at warwick dot ac dot uk