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Mike KalishVita (click for pdf version)
Updated May 10 2011 Institute of Cognitive Science University of Louisiana at Lafayette Lafayette, LA 70504-3772 voice: 337.482.1135 fax: 337.482.1222 kalish@louisiana.edu
Academic AppointmentsAssociate
Professor of Cognitive Science, 2005 – present. Institute of Cognitive Science, University of Louisiana, Lafayette,
Louisiana. Assistant
Professor of Cognitive Science, 2002 – 2005. Institute of Cognitive Science, University of Louisiana, Lafayette,
Louisiana. Senior
Lecturer of Psychology, 2002. Department of Psychology, University of
Western Australia, Perth. Lecturer
of Psychology, 1995 – 2002. (Tenured, 2000) Department of Psychology,
University of Western Australia, Perth. Postdoctoral
Research Fellow in Mathematical Psychology, 1993 – 1995. Department of
Psychology, Indiana University, Bloomington. DegreesPh.D.
Cognitive Science, University of California at San Diego, 1993. M.S. Cognitive
Science, University of California at San Diego, 1991. B.Sc. Cognitive
and Linguistic Science, with Honors, Brown University, 1983. ResearchRefereed Publications:(Note: selecting any of the links below constitutes your request to me for a personal copy of the linked article, which may be protected by copyright. Retrieving the copy is a delivery by me of a personal copy, and any other use is prohibited.) Newell, B., Dunn, J., & Kalish, M. (2011). Systems of category learning: fact or fantasy. In B. Ross (Ed.) The Psychology of Learning and Motivation. In Press. Trigg, J. & Kalish, M. (2011). Explaining how the mind works: on the relation between cognitive science and philosophy. Topics in Cognitive Science. In Press. Trigg, J. & Kalish, M. (2010). Thought, language and mental representation. In S. Ohlsson & R. Catrambone (Eds.) Proceedings of the 32nd Annual Meeting of the Cognitive Science Society (p188-193). Robinette, L., Feist, M., & Kalish, M. (2010). Framed: Factors influencing reference frame choice in tabletop space. In S. Ohlsson & R. Catrambone (Eds.) Proceedings of the 32nd Annual Meeting of the Cognitive Science Society (p1064-1069). Newell,
B., Dunn, J., & Kalish, M. (2010). The
dimensionality of perceptual category learning: A state-trace analysis. Memory and Cognition, 38,
563-581. Lewandowsky, S., Griffiths, T. &
Kalish, M. (2009). The wisdom of individuals:
Exploring people's knowledge about everyday events using iterated learning.
Cognitive Science, 33, 969-998. Griffiths,
T., Lucas, C., Williams, J. & Kalish, M. (2009). Modeling human function learning with Gaussian
processes. Advances in Neural
Information Processing Systems, 21. Griffiths,
T., Kalish, M. & Lewandowsky, S. (2008). Theoretical and empirical evidence for the impact of
inductive biases on cultural evolution. Philosophical Transactions of the Royal Society, Series B. 363,
3503–3514. Griffiths,
T.L., Christian, B.R., & Kalish, M.L. (2008). Using
category structures to test iterated learning as a method for revealing
inductive biases. Cognitive Science, 32, 68-107. Kalish,
M., Griffiths, T. & Lewandowsky, S. (2007). Iterated learning: Intergenerational knowledge
transmission reveals inductive biases. Psychonomic Bulletin and
Review, 14,
288-294. Griffiths,
T. & Kalish, M. (2007). Language evolution
by iterated learning with Bayesian agents. Cognitive Science, 31, 441-480. Griffiths,
T., Christian, B. & Kalish, M. (2006). Revealing priors on category structures through
iterated learning. Proceedings of the 28th annual cognitive science
society. Kalish,
M., Lewandowsky, S. & Davies, M. (2005). Error-driven knowledge restructuring in category learning.
Journal of
Experimental Psychology: Learning, Memory and Cognition, 31, 846-861. Griffiths,
T., & Kalish, M. (2005). A Bayesian view of
language evolution by iterated learning. In B. G. Bara, L. Barsalou, & M. Bucciarelli
(Eds.),
Proceedings of the 27th annual conference of the cognitive science society (p.
827-832). Mahwah,
NJ: Erlbaum. Kalish,
M., Lewandowsky, S., & Kruschke,
J. (2004). Population
of Linear Experts: Knowledge Partitioning and Function Learning. Psychological Review, 111, 1072-1099. Griffiths,
T. L. & Kalish, M. (2002). A
multidimensional scaling approach to mental multiplication. Memory and
Cognition, 30, 97-106. Lewandowsky, S. L, Kalish, M. & Ngang, S. K. (2002). Simplified
learning in complex situations: Knowledge partitioning in function learning.
Journal of
Experimental Psychology: General, 131, 163-193. Kalish,
M. (2001). An inverse base rate effect with
continuously valued stimuli. Memory and Cognition, 29, 587-597. Kalish,
M. & Kruschke, J. (2000). The role of attention
shifts in categorization of continuous dimensioned stimuli. Psychological
Research, 64, 105-116. Lewandowsky, S. L, Kalish, M. &
Griffiths, T. L. (2000). Categorization using context: Expedient errors and
resistance to knowledge restructuring. Journal of Experimental Psychology: Learning,
Memory and Cognition, 26, 1666-1684. Kalish,
M., Lewandowsky, S. & Dennis, S. (1999). Remote
delivery of cognitive science laboratories: A solution for small disciplines
in large countries. Behavior Research Methods, Instruments and Computers, 31,
270-274. Wynne,
C.D. & Kalish, M. (1999). Effects of occasional short interfood
intervals on temporal control in pigeons. Behavioral Processes, 45, 207-218. Goertzel, B. & Kalish, M. (1998).
Similarity as compression. The Noetic Journal, 1, 174-182. Henmi, T., & Kalish, M. (1998).
Dynamics of iterated perception. Complexity International, 6. Available on
line at http://life.csu.edu.au/complex/ci/vol6/henmi/. Goertzel, B. & Kalish, M. (1998). Mindspace curvature: The non-Euclidian geometry of
perception and illusion. The Noetic Journal, 1, 207-230. Kalish,
M. & Kruschke, J. (1997). Decision boundaries
in one dimensional categorization. Journal of
Experimental Psychology: Learning, Memory and Cognition. 23,
1362-1377. Kalish,
M. (1994). Idiosyncratic errors in visually directed reaching. Journal of
Motor Behavior, 26, 296-300. Kalish,
M. (1994). Adaptive learning of Gaussian categories leads to decision bounds
and response surfaces incompatible with optimal decision making. Proceedings of 16th Annual Conference of
the Cognitive Science Society, 479-484. Kalish,
M. (1993). Affordance learning as a problem of information integration. In S.
Valenti & J. Pittenger
(Eds.) Studies in Perception and Action
II, (pp. 130-134). Hillsdale, NJ: LEA. Kalish,
M. (1991). Human performance in visually directed reaching results in
systematic, idiosyncratic error. Proceedings
of 13th Annual Conference of the Cognitive Science Society,
770-774. Warren,
W., Blackwell, A., Kurtz, K., Hatsopoulos, N. &
Kalish, M. (1991). On the sufficiency of the velocity field for perception of
heading. Biological
Cybernetics, 65, 770-774. Warren,
W., Morris, M. & Kalish, M. (1988). Perception of translational heading
from optical flow. Journal of Experimental Psychology: Human Perception and Performance,
14, 646-660. Grants and Fellowships:Louisiana Board of Regents Traditional Enhancement Grant, 2009-2010. Principle Investigator: M. Kalish. Project Team: S. Feist & C. Rice. $85,672. Title: Computational resources for cognitive science. Australian Research Council (ARC) Discovery Grant, 2007-2010. Principle Investigators: B. Newell, J. Dunn, M. Kalish. $100,000. Title: Dual process models of categorization. National Science Foundation, 2007-2010. Principle
Investigators: M. Kalish, T. Griffiths. Direct Costs: $250,000.
Title: Iterated learning with Bayesian agents. Louisiana
Board of Regents Special Fund, 2004-2006. Principle Investigator: M.
Kalish. Direct costs: $98,910. Title: Knowledge restructuring during
concept learning. Australian
Research Council Discovery Grant, 2002-2005. Chief Investigators: S. Lewandowsky & M. Kalish. $150,000.
Title: Models of knowledge restructuring. UWA
Research Grant, 2001. Chief Investigators: S. Lewandowsky
& M. Kalish. $12,489. Title: Facilitation of knowledge restructuring:
training better experts, faster. ARC
International Research Exchange Grant, 2000. Chief Investigators: M. Kalish,
S. Lewandowsky. Partner Investigator: J. Kruschke. Associate Investigator: R. Kliegl.
$14,400. Title: Knowledge partitioning: models of the limits of expertise. Australian
Partnership for Advanced Computing, Merit Allocation Scheme, 2000. Chief
Investigators: M. Kalish & G. Zemunik. Title: A
neural model of insect olfaction. ARC
Large Grant, 1999–2001. Chief Investigators: M. Kalish, S. Lewandowsky. Partner Investigator: J. Kruschke.
Associate Investigator: R. Kliegl. $124,000. Title:
Knowledge partitioning: models of the limits of expertise. ARC
Small Grant, 1999. Chief Investigator: M. Kalish. $19,000. Title: Initial
testing of an inclusive model of concept acquisition. ARC
Small Grant, 1997. Chief Investigator: M. Kalish. $10,915. Title: Reaching
without visual feedback. Commonwealth
Department of Health and Family Services, Office of Disabilities Grant, June
1996–Dec 1997. $62,164. Project Team: K. Hird, N.
Hennessey, M. Kalish. Title: Speech access to
computer technology for people with physical disabilities. Department
of Psychology, UWA Research Initiative Grant, 1996. $6,000. Investigator: M.
Kalish. Title: Infrastructure for Motor Control Research. NIH
Training Program Postdoctoral Fellowship, 1993–1995 National
Defense Science and Engineering Fellowship, 1989–1992 Brown
University Undergraduate Research Fellowship, 1987 Other Publications:Smith,
K., Kalish, M., Griffiths, T. & Lewandowsky, S.
(2008). Introduction. Cultural transmission and the evolution of human behaviour. Philosophical
Transactions of the Royal Society B, 363, 3469–3476. Lewandowsky, S. Little D. R., &
Kalish, M. (2007). Knowledge and expertise. In F. T. Durso, R. Nickerson, S. Dumais,
S. Lewandowsky & T. Perfect (Eds.).
Handbook of applied cognition (2nd Ed.). Chichester:
Wiley. In Press. Kalish,
M. & Barousse, C. (2006). Review of
Michael R.W. Dawson, Connectionism: A Hands-On Approach. Trends in Cognitive Science, 10, 6-8. Doyle,
M. & Kalish, M. (2004). Stigmergy:
Indirect communication in multiple mobile autonomous agents. In M. Pechoucek & A. Tate (Eds.) Knowledge Systems for Coalition Operation
(151-158). Prague: Czech Technical University. Kalish,
M., Lewandowsky, S. and Dennis, S. (1999). The
remote delivery of cognitive science. In K. Martin, N. Stanley & N.
Davison (Eds.), Teaching in the Disciplines / Learning in Context: Proceedings of the
8th Annual Teaching Learning Forum (178-183). Perth: UWA.
Rhodes,
G. & Kalish, M. (1999). Cognitive penetration: Would we know it if we saw
it? Brain
and Behavioral Sciences, 22, 390-391. Roberts,
B., Kalish, M., Hird, K., & Kirsner,
K. (1999). Decontextualized data in,
decontextualized theory out. Brain and Behavioral Sciences, 22,
54-55. Hird, K., Hennessey, N. W., &
Kalish, M. (1997). Speech access to computer technology for people with
physical disabilities. National Disability Research Agenda Report No. 1. Kalish,
M. & Nygaard, L. (1994). Modeling the effect of
learning voices on the perception of speech. Research on Spoken Language Processing,
Progress Report No. 19, Speech Research Laboratory, Indiana University. Kalish,
M. (1992). Limitations on what reaching can tell us about sensorimotor
transformations. Brain and Behavioral Sciences, 15, 344. Presentations:Kalish, M. (2010). What multiple systems models of categorization might be. Paper presented at the 9th Annual Summer Interdisciplinary Conference, Bend OR. Kalish, M. (2009). Learning function concepts. Invited paper presented at the University of Western Australia, School of Psychology, Perth, Australia. Kalish, M. (2009). Similarity and function learning. Paper presented at the 31st Annual Conference of the Cognitive Science Society, Amsterdam, Netherlands Kalish, M., Dunn, J., & Newell, B. (2009). State-trace analysis of the effect of load on category learning. Paper presented at the 2009 Conference of the Society for Mathematical Psychology, Amsterdam, Netherlands. Kalish, M. (2009). Gaussian process regression as description and explanation of function learning. Paper presented at the Australian Mathematical Psychology Conference, Newcastle, Australia Kalish, M. (2009). Gaussian process regression and human function learning. Paper presented at the 8th Annual Summer Interdisciplinary Conference, Aosta, Italy. Kalish, M. (2008). Iterated learning on a graph. Paper presented at the 30th Annual Conference of the Cognitive Science Society, Washington, DC. Dunn, J., Newell, B. & Kalish, M. (2008). Debunking dissociations in category learning. Paper presented at the 2008 Conference of the Society for Mathematical Psychology, Washington, DC. Kalish, M. (2008) Iterated learning with selection: Convergence to saturation. Paper presented at the 7th International Conference on the Evolution of Language, Barcelona, Spain. Barrouse, C. & Kalish, M. (2008). The effect of musicality and scale type on memory for tone sequences. Paper presented at the Conference for Music and Neuroscience, Montreal, CA. Barrouse, C. & Kalish, M. (2008). Memory for musical tone intervals and tonality. Poster presented at the 30th Annual Conference of the Cognitive Science Society, Washington, DC. Robinette, L., Feist, M. & Kalish, M. (2008). Motivating use of an object-centered frame of reference. Poster presented at the 30th Annual Conference of the Cognitive Science Society, Washington, DC. Kalish, M. (2008). Iterated learning as a model for the spatial distribution of linguistic hypotheses. Poster presented at the 30th Annual Conference of the Cognitive Science Society, Washington, DC. Kalish, M. (2007). Iterated learning, diffusion chains and cultural evolution. Paper presented at the sixth Annual Summer Interdisciplinary Conference, Kalymnos, Greece. Kalish, M. & Griffiths, T. (2006). Iterated learning
reveals inductive biases in categorization and function learning. Paper
presented at the 47th Annual Meeting of the Psychonomic
Society, Houston. Kalish, M. (2006). Iterated learning reveals inductive
priors. Paper presented at the 2006 Conference of the Society for
Mathematical Psychology, Vancouver. Kalish, M. (2006). Iterated categorization reveals
inductive priors. Paper presented at the 1st Memory and Concept
Formation Workshop, Margaret River, West
Australia. Kalish, M. (2005). Iterated learning so far. Paper
presented at the 5th Annual Summer Interdisciplinary Conference, Briancon, France. Kalish,
M. (2004). Iterated function learning. Paper presented at the 4th
Annual Summer Interdisciplinary Conference, Cavalese,
Italy. Kalish,
M. (2002). Error driven knowledge restructuring in category
learning. Paper presented at the 43rd Annual Meeting of the Psychonomics Society, Kansas City. Kalish,
M., Lewandowsky, S. & Kruschke,
J. K. (2001). POLE: A model of function learning. Paper presented
at the 42nd Annual Meeting of the Psychonomics
Society, Orlando. Dunn,
J. & Kalish, M. (2000). Comparing models of categorization using signed
difference analysis. Paper presented at the 33rd Annual Meeting of
the Society for Mathematical Psychology, Kingston, Ontario. Lewandowsky, S., Kalish, M. &
Griffiths, T. (2000). ANKR: An associative network model of knowledge
restructuring. Paper presented at the 33rd Annual Meeting of the
Society for Mathematical Psychology, Kingston, Ontario. Kalish,
M., & Lewandowsky, S. (2000). Attention in
learning and the learning of attention. Paper presented at the 20th
Annual Interdisciplinary Conference, Jackson, Wyoming. Kalish,
M. & Lewandowsky, S. (1999). Strong and weak
knowledge partitioning. Paper presented at the Ninth Australian Mathematical
Psychology Society Conference, Brisbane. Lewandowsky, S., Kalish, M. & Phang, J. (1998). Missing the forest after planting all
the trees: expertise-assisted error. Paper presented at the 39th
Annual Meeting of the Psychonomic Society, Dallas. Kalish,
M., Lewandowsky, S., & Dennis, S. (1998). The
flexible delivery of cognitive science: Overcoming the tyranny of distance.
Paper presented at the 28th Annual Conference of the Society for
Computers in Psychology, Dallas. Kalish,
M. (1997). Shifting attention within continuous dimensions. Paper presented
at the Eighth Australian Mathematical Psychology Society Conference, Perth. Kalish,
M. & Lewandowsky, S. (1997). Teaching cognitive
science at UWA. Paper presented at the Fourth Australian Cognitive Science
Society Conference, Newcastle. Rhodes,
G. and Kalish, M. (1997). An ecological approach to face perception: What
would it look like? Paper presented to a forum on “Direct vs.
representational approaches to perception and cognition”, Department of
psychology and applied cognitive studies group, University of Wollongong, 20
June 1997. Kalish,
M. (1996). Categorization in one dimension. Paper presented at the
Experimental Psychology Conference, Perth. Abstract available in Australian
Journal of Psychology, 48 (supplement), 41. Kalish,
M. (1995). A Cascaded Dynamical Systems Model of Biases in Blind Reaching.
Paper presented to the Australian Mathematical Psychology Society, Melbourne. Nygaard, L. & Kalish, M. (1994).
Modeling the effect of learning voices on the perception of speech. Paper
presented at the Annual Meeting of the Acoustical Society of America.
Abstract available in Journal of the Acoustical Society of America, 95, 2873. Kalish,
M. & Fikes, T. (1994). The dynamics of learning
and performance in blind reaching. Paper presented at the 35th
Annual Meeting of the Psychonomics Society, St. Louis. Kalish,
M. & Elman, J. (1993). Human category learning is non-optimal, but still
adaptive. Paper presented at the 4th Annual Convention of the
American Psychological Society, Chicago. Kalish,
M. & Harris, C. (1991). An empirical study of the ability of back
propagation to approximate posterior probabilities. Proceedings of the Fifth
International Joint Conference on Neural Networks, (2454-2457). Kalish,
M. & Warren, W. (1988). The effects of probabilistic environments on a
perceptual mechanism. Paper presented at the International Joint Conference
on Neural Networks, Boston. Abstract available in Neural Networks, 1, (Suppl. 1), 505. |
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Mailing address: Institute of Cognitive Science
University of Louisiana at Lafayette
Lafayette, LA 70504-3772
Location: Rougeou Hall Room 342 241 East Lewis
Street Lafayette, LA 70504-3772
Phone: (337) 482
1135 Fax: (337) 482 1222 E-mail: kalish@louisiana.edu
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maintained by Mike Kalish . Please direct all comments and questions to kalish@louisiana.edu .
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