WHO WE ARE ::

Alessandra Boufford
Evalyn Carter
May Chow
David Cron
Matt Gilles
Yuching Lin
YounJoo Sang

research assistants

COLLABORATORS ::

university of arizona
universität mainz
university of manchester
university of massachusetts
universität marburg
nasa ames
hci group
universität
potsdam
John Laird
Satinder Singh
Jonathan Sorg
Akram Helou
michigan computer science
michigan linguistics
michigan psychology

bounded optimality and bounded rational analysis

Our work on bounded optimality and bounded rationality provides a new way to model and explain human behavior by leveraging its adaptive nature. The basic idea is that human behavior—from the lowest levels of motor control to multi-tasking strategies to complex decision making—can be understood as an adaptation to the joint constraints (resources and bounds) of the human processing system, the external probabilistic environment, and an internal reward function. This idea has been around in some form in psychology for many decades, but advances in our understanding of the processing constraints, advances in computational algorithms for adaptive control, and advances in raw computing power make it possible now to more fully explore its implications.

More specifically, with collaborators at Manchester (Andrew Howes) and NASA Ames (Alonso Vera), we have developed an approach to cognitive theory and modeling called cognitively bounded rational analysis that derives adaptive strategies for the control of behavior given a specific set of processing constraints (e.g. on short-term memory or perceptual processes) a probabilistic task environment, and a quantitative utility function (e.g., specifying a precise speed-accuracy tradeoff).

The approach has strong ties to reinforcement learning, and our most recent computational modeling developments adopt the reinforcement learning approach to derive adaptive behavior. This work has now reached a level of maturity that it is possible to apply it to many challenging domains, including psycholinguistics, judgement and decision making, and applied human performance modeling.

For more on this work, read the papers below, and visit Andrew Howes' website at Manchester.

key overview publications

Attend to the copyright notice.

Howes, A., Lewis, R. L., and Vera, A. H. (just published). Rational adaptation under task and processing constraints: Implications for testing theories of cognition and action. Psychological Review, 116(4):717-751. [ DOWNLOAD PDF ]

Singh, S., Lewis, R. L., and Barto, A. G. (2009). Where do rewards come from? In Proceedings of the Annual Conference of the Cognitive Science Society, pages 2601-2606, Amsterdam. [ DOWNLOAD PDF ]

Howes, A., Lewis, R. L., and Vera, A. (2007). Bounding rational analysis: Constraints on asymptotic performance. In Gray, W. D., editor, Integrated Models of Cognitive Systems. Oxford University Press, New York. [ DOWNLOAD PDF ]

These references were generated by bibtex2html 1.93.

 

other relevant publications

Chu, A., Lewis, R. L., and Howes, A. (2007). Evaluating the performance of optimizing constraint satisfaction techniques for cognitive constraint modeling. In Lewis, R., Polk, T., and .Laird, J., editors, The Proceedings of the 8th International Conference on Cognitive Modeling, pages 26-31, Ann Arbor, Michigan. Psychology Press/Taylor & Francis. [ DOWNLOAD PDF ]

Eng, K., Lewis, R. L., Tollinger, I., Chu, A., and Howes, A. (2006). Generating automated predictions of behavior strategically adapted to specific performance objectives. In Proceedings of the Computer-Human Interaction Conference, CHI 2006. Best paper nomination: top 5 per cent of submissions.DOWNLOAD PDF ]

Howes, A., Lewis, R. L., Vera, A., and Richardson, J. (2005). Information-requirements grammar: A theory of the structure of competence for interaction. In Proceedings of the Cognitive Science Society, Stresa, Italy. [ DOWNLOAD PDF ]

Tollinger, I., Lewis, R. L., McCurdy, M., Tollinger, P., Vera, A., Howes, A., and Pelton, L. (2005). Supporting efficient development of cognitive models at multiple skill levels: Exploring recent advances in constraint-based modeling. In Proceedings of the Computer-Human Interaction Conference, Portland, Ore. Best paper nomination: top 5 per cent of submissions.DOWNLOAD PDF ]

Vera, A. H., Howes, A., Lewis, R. L., Tollinger, I., Eng, K., and Richardson, J. (2005a). A constraint-based approach to understanding the composition of skill. In Proceedings of the Human-Computer Interaction 2005 Symposium,, Las Vegas.

Vera, A. H., Tollinger, I., Eng, K., Lewis, R. L., and Howes, A. (2005b). Architectural building blocks as the locus of adaptive behavior selection. In Proceedings of the Cognitive Science Society, Stresa, Italy. [ DOWNLOAD PDF ]

Howes, A., Vera, A., Lewis, R. L., and McCurdy, M. (2004). Cognitive constraint modeling: A formal approach to supporting reasoning about behavior. In Proceedings of the Cognitive Science Society, Chicago. [ DOWNLOAD PDF ]

Lewis, R. L., Vera, A., and Howes, A. (2004). A constraint-based approach to understanding the composition of skill. In Proceedings of the International Conference on Cognitive Modeling. [ DOWNLOAD PDF ]

Vera, A., Howes, A., McCurdy, M., and Lewis, R. L. (2004). A constraint-satisfaction approach to predicting skilled interactive cognition. In Proceedings of the Computer-Human Interaction Conferece CHI-2004, Vienna, Austria. [ DOWNLOAD PDF ]

These references were generated by bibtex2html 1.93.