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Inaugural Topic: Visions of Cognitive Science


For the inaugural issue of topiCS we have gathered a distinguished group of cognitive scientists to reflect on the progress, pitfalls, current status, and future direction of their area of expertise. Our cognitive scientists reflect the diversity of our field and will cover the following topics:

 

  • Cognitive Engineering — Stu Card (PARC). Working title: From GOMS to Google: Cognitive Engineering in Pursuit of a Moving Target
    • 2007 recipient of the Franklin Institute’s Bower Award
    • The Psychology of Human-Computer Interaction. Hillsdale, NJ: Erlbaum
    • 2000 The Association for Computing Machinery (ACM)'s SIGCHI’s first CHI Lifetime Achievement Award
    • 2007 elected to the National Academy of Engineering

  • Expertise — Micki Chi (University of Pittsburgh, Learning, Research, & Development Center): Working title: Active, Constructive, and Interactive

    The goal of this paper is to provide a conceptual framework for understanding advantages of various kinds of talks and activities. In particular, it attempts to differentiate active from constructive from interactive, in terms of observable behavior, resulting learning outcomes, and internal processes. Empirical studies will be cited to support this conceptual framework.
    • Chi, M. T. H., Glaser, R., & Farr, M. (Eds.). (1988). The nature of expertise. Hillsdale, NJ: Erlbaum
    • Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5(2), 121–152
    • Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989). Self-explanations:  How students study and use examples in learning to solve problems. Cognitive Science, 13(2), 145–182.

  • Animal Cognition — Nicky S. Clayton (Cambridge University). Working title: Animal Cognition
    • Emery, N.J., Clayton, N.S. (2004), “The mentality of crows. Convergent evolution of intelligence in corvids and apes”, Science 306:1903–1907
    • Dally, J.M., Emery, N.J., Clayton, N.S. (2006), “Food-caching western scrub-jays keep track of who was watching when”, Science 312(5780):1662–1665
    • Raby, C.R., Alexis, D.M., Dickinson, A., Clayton, N.S. (2007), “Planning for the future by Western Scrub-Jays”, Nature 445:919–921

  • Cognitive Heuristics — Gerd Gigerenzer (Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development). Working title: Cognitive Heuristics
    • Gigerenzer, G. (2007). Gut feelings: The intelligence of the unconscious. New York: Viking Press.
    • Gigerenzer, G. (2002). Calculated risks: How to know when numbers deceive you. New York: Simon & Schuster.
    • Gigerenzer, G. (2000). Adaptive thinking: Rationality in the real world. New York: Oxford University Press.
    • Gigerenzer, G., Todd, P. M., & the ABC Research Group. (1999). Simple heuristics that make us smart. New York: Oxford University Press.
    • Gigerenzer, G., Swijtink, Z., Porter, T., Daston, L., Beatty, J., & Krüger, L. (1989). The empire of chance. How probability changed science and everyday life. Cambridge, UK: Cambridge University Press.

  • Ontogeny, Phylogeny — Gary Marcus (New York University). Working title: Ontogeny, Phylogeny, and Cognitive Science.
    • Marcus, G. (2006). The Norton psychology reader. New York, NY, US: W W Norton & Co.
    • Marcus, G. (2004). The birth of the mind: How a tiny number of genes creates the complexities of human thought. New York, NY, US: Basic Books.
    • Marcus, G. F. (2001). The algebraic mind: Integrating connectionism and cognitive science. Cambridge, MA, US: The MIT Press.
    • 1996 – Robert L. Fantz award for new investigators in cognitive development

  • Computational Cognitive Modeling — Jay McClelland (Stanford University). Working title: The Emergence of Computational Cognitive Modeling as a Defining Structure for the Development of Scientific Theories of Cognition
    • McClelland, J. L., & Rumelhart, D. E. (1988). Explorations in parallel distributed processing: A handbook of models, programs, and exercises. Cambridge, MA, US: The MIT Press.
    • Rogers, T. T., & McClelland, J. L. (2004). Semantic cognition: A parallel distributed processing approach. Cambridge, MA, US: MIT Press.
    • Member, National Academy of Sciences, 2001; Chair, Section 52 (Psychology), 2004-2007
    • American Psychological Society, William James Fellow, 2003-2004

  • Cognitive Neuroscience — Karalyn Patterson (Cambridge University) & David Plaut (Carnegie Mellon University). Working Title: The Productive Interaction between Cognitive Science and Cognitive Neuroscience.
    • Kellenbach, M. L., Hovius, M., & Patterson, K. (2005). A pet study of visual and semantic knowledge about objects. Cortex, 41(2), 121-132.
    • Patterson, K., & Fushimi, T. (2006). Organisation of language in the brain: does it matter what language you speak? Interdisciplinary Science Reviews, 31(3), 201-216.
    • Patterson, K., Ralph, M. A. L., Jefferies, E., Woollams, A., Jones, R., Hodges, J. R., et al. (2006). "Presemantic'' cognition in semantic dementia: Six deficits in search of an explanation. Journal of Cognitive Neuroscience, 18(2), 169-183.
    • Plaut: 2003, Troland Research Award, National Academy of Sciences.
    • Plaut, D. C., McClelland, J. L., Seidenberg, M. S., & Patterson, K. (1996). Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review, 103(1), 56-115.

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