Annual Winners of the George A. Miller Prize for the Best Interdisciplinary Senior Thesis in Cognitive Science

1987: Benjamin O. Martin. Comparing a simulation to an experiment: Some observations concerning methodology in cognitive science.

1988: Two winners. (1) Jocelyn K. Tyras. Null subjects, children, and parameters: Do we really need a null subject parameter? (2) Robert N. Bernard. Writing stories about a main character.

1989: Marsha C. Lovett. Retrieval in analogical problem solving of graph theoretic algorithms.

1990: William A. Cohen. Cognitive and motivational consequences of discovery learning.

1991: Anthony V. Bastardi. Inferring preferences: some implications for avoiding decisional conflict.

1992: Howard Neurthaler. Moral judgments and the compatibility principle.

1993: Leora Feigenblum. Acquisition of functional categories: a longitudinal study of child speech.

1994: Dario Salvucci. Intelligent tutor for algebra.

1995: Douglas L. T. Rohde. Modeling the dual-pathway system for practice-related verbal associative learning.

1996: Bryan Duff. Situating metonymic reference within a language processing model.

1997: Shima C. Sokol, The effects of orthography on information processing in Japanese, Chinese and English.

1998: Mark Edward Johns, A mental model theory of Wason's THOG problem

1999: Peter Bach-y-Rita, What it takes to have something in mind

2000: Tina L. Lai, The cognitive basis of lucid dreaming: individual differences in attention and control

2001: Andrew Shtulman, Intuitive evolution: are we predisposed to misunderstand Darwinism?

2002: Elizabeth Cameron Kellogg, From the hands of babes: applying language acquisition theories to American sign language

2003: Sharon Fox, Caravaggio in a new light: theories of light in his paintings and the scientific basis for its emotive effects.

2004: Mark Rogerson, Blindsearch? Dissociation and integration of dorsal stream processing in visual search.

2005: Allison Barnes, Through the Looking Glass: Irrational Preference Reversals in Different Evaluation Modes.

2006: James F. Niemasik, Dynamic Online Learning in a Hierarchical Graphical Model of Cortex.

2007: Anouk Schneider, VAMP (Voting Agent Model of Preferences): A Computational Model of Individual Decision-Making that Applies Voting Geometry to Multialternative Choice.