Cognitive Science Summaries, edited by Jim Davies

Cognitive Science Summaries

This site has summaries of artificial intelligence and cognitive science papers and book chapters. It is intended to help find papers to read, or as a reminder of the gist of a paper you've already read. The Cognitive Science Summaries project is a part of my Educational Research theme.

Contributing

Please contribute to this site with your own summaries. Multiple summaries of the same article are terrific. Many people have contributed to this site.

Here is the template for the summaries, if you care to use it. Don't worry about converting it if you have already written the summary in another format-- just email me the text file and I will take care of the rest.

To help you understand these summaries, it might be helpful to look at the Other online resources.

Assigning the Writing of a Summary as a class project

You can also contribute to the summaries page by assigning individuals or groups to write a summary for a class project. See the assignment page for a sample assignment.

Citing the Summaries

If you cite a paper you really should read the original. If you want to cite a summary on this site, use the following format:

Furcy, D. (1999). Summary of Amarel 1968 On representations of problems of reasoning about actions. In J. Davies (ed.) Cognitive Science Summaries Internet Web site. URL:http://www.jimdavies.org/summaries/.

Where D. Furcy is the summary author and 1999 is the year the summary is written. This information is on each summary page.

The Summaries:

Ackerman, P. L. (1988). Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. Journal of Experimental Psychology: General, 117, 288-318.
Ackerman, P. L. (1992). Predicting individual differences in complex skill acquisition: Dynamics of ability determinants.
Aginsky, V. & Tarr, M. J. (2000). How are different properties of a scene encoded in visual memory? Visual Cognition, 7 (1/2/3), 147--162.
Allen, R. & Reber, A. S. (1999). Chapter 23: Unconscious intelligence. In A Companion to Cognitive Science, Bechtel, W. & Graham, G. (eds) Blackwell, Malden MA.
Allen, C., Varner, G. & Zinser, J. (2000). Prolegomena to any future artificial moral agent. Journal of Experimental & Theoretical Artificial Intelligence, 12, 251 – 261.
Amarel, S. (1968). On representations of problems of reasoning about actions, Machine Intelligence, (3), 131--171 (see this shorter summary)
Anderson, J. R. (1982). Acquisition of cognitive skill. Psychological Review, 89, 369-406. (See also this other summary and this one too.)
Anderson, J. R. (1983). A spreading activation theory of memory. Journal of Verbal Learning and Verbal Behavior, 22, 261-295. (See also this shorter summary)
Anderson, M. & Anderson, S. L. (2007). Machine ethics: Creating an ethical intelligent agent. AI Magazine, 28(4), 15-26.
Anderson, M. & McCartney, R (2003). Diagram processing: Computing with Diagrams. Artificial Intelligence. 145. pp 181--226.
Andrade, J. (2008). What does doodling do? Applied Cognitive Psychology, 24, 100-106.
Arkin, R.C. (1998), Social Behavior. In Behavior-Based Robotics,, Chapter 9. MIT Press, Cambridge, MA.
Ashcraft, M. H. & E. H. Stazyk (1981). Mental addition: A test of three verification models. Memory & Cognition. v9 pp 185-196.
Atkeson, C. G. and S. Schaal (1997). Robot Learning From Demonstration, Machine Learning: Proceedings of the Fourteenth International Conference (ICML '97), Edited by Douglas H. Fisher, Jr. pp. 12-20, Morgan Kaufmann, San Francisco, CA, 1997.
D.H. Ballard (1997) An Introduction to Natural Computation, MIT Press.
Barnard, K. & Johnson, M. (2005). Word sense disambiguation with pictures. Artificial Intelligence, 167, 13-30.
Barsalou, L.W. (1999). Perceptual symbol systems. Behavioral and Brain Sciences, 22, 577-609.
Bergmann, R; Muñoz-Avila, H; Veloso, M; Melis, E (1998). Case-Based Reasoning Applied to Planning. In CBR Technology, From Foundations to Applications, eds. Lenz, M; Bartsch-Spörl, B; Burkhard, HD; Wess, S.
Bichindaritz, & Sullivan, K. M. (1998) Reasoning from Knowledge Supported by More or Less Evidence in a Computerized Decision Support System for Bone-Marrow Post-Transplant Car. AAAI Spring Symposium in Multimodal Reasoning. Technical Report SS-98-04. 85--90 I.
Bilda Z., & Gero J. (2006). Reasoning with internal and external representations: A case study with expert architects, in R. Sun (ed), Proceedings of the Annual Meeting of Cognitive Science Society , (pp. 1020-1026). Mahaw, NJ: Lawrence Erlbaum Associates.
Bhatta, S. R. & A. K. Goel (1997). Design patterns: A computational theory of analogical design. In the Proceedings of IJCAI-97 workshop on "Using Abstraction and Reformulation in Analogy."
Bernoussi, M. (1998) Individual differences in cognitive addition. The Psychological Record. v48, pp325-332.
Berwick, R. C., Pietroski, Paul, Yankama, Beraca & Chomsky, Noam (2011). Poverty of the Stimulus Revisited. Cognitive Science, 35, 1207--1242.
Beveridge, M. & Parkins, E. (1987). Visual representation in analogical problem solving. Memory & Cognition: 15(3), 230--237.
Bhatta, S. R. & Goel, A. (1997). Learning generic mechanisms for innovative strategies in adaptive design. The Journal of the Learning Sciences, 6(4), 367--396.
Blum, Avrim L. and Furst, Merrick L. (1997) Fast Planning Through Planning Graph Analysis. Artificial Intelligence. 90. 1997. p281-300.
Bock, K. & Garnsey, S. M. (1999). Chapter 14: Language Processing. In A Companion to Cognitive Science, Bechtel, W. & Graham, G. (eds) Blackwell, Malden MA.
B. Bonet, G. Loerincs and H. Geffner (1997). A Robust and Fast Action Selection Mechanism for Planning, Proceedings of the 14th National Conference on Artificial Intelligence and 9th Innovative Applications of Artificial Intelligence Conference (AAAI-97/IAAI-97)
Bosman, E. A., & Charness, N. (1996) Age-related differences in skilled performance and skill acquisition. In F. Blanchard-Fields & T. M. Hess (Eds.), Perspectives on cognitive change in adulthood and aging (pp. 428-453). New York: McGraw-Hill.
Bowker, G. C. & Star, S. L. (1999) Sorting Things Out: Classification and Its Consequences. Parts II and III. MIT Press: Cambridge, MA.
Brooks R. (1986). A Robust Layered Control System for a Mobile Robot. IEEE Journal of Robotics and Automation, 2 (1)
Brooks, R. A. (1989). "A Robot That Walks; Emergent Behaviors from a Carefully Evolved Network," MIT AI Lab Memo 1091, February 1989.
Brooks, R. A. (1991). "Intelligence Without Reason," Proceedings of 12th Int. Joint Conf. on Artificial Intelligence, Sydney, Australia, August 1991, pp. 569--595.
Brosset, D. & Claramunt, C. (2010). An experimental ant colony approach for the geolocation of verbal route descriptions. Knowledge-Based Systems, 24, 484-491.
Brunelli, R. & T. Poggio (1993), Face Recognition: Features versus Templates, IEEE Transactions on PAMI, 15(10):1042-1052.
Bruner, J.S. (1957). Going beyond the information given. In J.S. Bruner, E, Brunswik, L. Festinger, F. Heider, K.F. Muenzinger, C.E. Osgood, & D. Rapaport, (Eds.), Contemporary approaches to cognition (pp. 41-69). Cambridge, MA: Harvard University Press. [Reprinted in Bruner, J.S. (1973). Beyond the information given (pp. 218-238). New York: Norton.]. [pages 218-222]
Buchanan, B.G. (2001). Creativity at the Metalevel: AAAI-2000 Presidential Address. AI magazine 22, (3), 13-28.
Buckner, R. L. & Petersen, S. E. (1999). Chapter 32: Neuroimaging. In A Companion to Cognitive Science, Bechtel, W. & Graham, G. (eds) Blackwell, Malden MA.
Camerer, C. F., & Johnson, E. J. (1991). The process-performance paradox in expert judgment: How can experts know so much and predict so badly? In K. A. Ericsson & J. Smith (Eds.), Towards a general theory of expertise: Prospects and limits (pp. 195-217). New York: Cambridge Press.
Carbonell, J. (1986). Derivational analogy: A theory of reconstructive problem solving and expertise acquisition. In Michalski, R., Carbonell, J., & Mitchell, T. (Eds.) Machine Learning: An Artificial Intelligence Approach. Morgan Kaufman Publishers: San Mateo, CA.
Casakin, H, & Goldschmidt, G. (1999) Expertise and the use of visual analogy: Implications for design education. Design Studies, 20:153--175.
Catrambone, R. & Holyoak, K. J. (1989) Overcoming contextual limitations on problem-solving transfer. Journal of Experimental Psychology 15:6, 1147--1156.
Cedras, C. & M. Shah (1995), Motion-Based Recognition: A Survey, IVC, 13(2):129-155.
Chandrasekaran, B. (1988) Generic Tasks as Building Blocks for Knowledge-Based Systems: The Diagnosis and Routine Design Examples. Knowledge Engineering Review, 3 (3). (see this shorter summary)
Chandrasekaran, B., Narayanan, N. H., and Iwasaki, Y. (1993). Reasoning with Diagrammatic Representations. AI Magazine, 14(2), 49-56.
Charness, N. (1981). Aging and skilled problem solving. Journal of Experimental Psychology: General, 110, 21-38.
Charness, N. (1997). Can acquired knowledge compensate for age-related declines in cognitive efficiency: Evidence from chess and bridge. Manuscript in preparation.
Chase, W. G., & Ericsson, K. A. (1982). Skill and working memory. In G. H. Bower (Ed.), The psychology of learning and motivation (Vol. 16, pp. 1-58). New York: Academic Press.
Chong, H., Tan, A., & Ng, G. (2007). Integrated cognitive architectures: a survey. Artificial Intelligence Review, 103-130.
Clayton, N.S., Russell, J. & Dickinson, A. (2009). Are animals stuck in time or are they chronesthetic creatures? Topics in Cognitive Science, 1, 59-71.
Colheart, M. (1980). Iconic memory and visible persistence. Perception and Psychophysics, 27, 183-228.
Conati, C. (2009). Intelligent Tutoring Systems: New Challenges and Directions. Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, California, 2-7.
Cox, M. T. (2007). Perpetual Self-Aware Cognitive Agents. AI Magazine, 28 (1), 32-45.
Coyne, B. & Sproat, R. (2001). WordsEye: An Automatic Text-to-Scene Conversion System. In Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH01), 487--496.
Craig, D. L., Catrambone, R., & Nersessian, N. J. (2003). The role of perceptually represented structure in analogical problem solving. Unpublished manuscript.
Croft, D. & Thagard, P. (2000). Dynamic imagery: A computational model of motion and visual analogy. Unpublished manuscript.
Csikszentmihalyi, M. & Robinson R. E. (1990). The Art of Seeing: An Interpretation of the Aesthetic Encounter The J. Paul Getty Museum and The Getty Education Institute for the Arts.
Dawes, R. M., Faust, D., & Meehl, P. E. (1989). Clinical versus actuarial judgment. Science, 243, 1668-1674.
Deacon, T. W. (1999). Chapter 13: Language evolution and neuromechanisms. In A Companion to Cognitive Science, Bechtel, W. & Graham, G. (eds) Blackwell, Malden MA.
T. Dean & S. Kambhampati (1996), Planning and Scheduling. The CRC Handbook of Computer Science and Engineering, A. B. Tucker (Ed.), CRC press, 1997. pp614-636.
R. Dechter (1996), Bucket Elimination: A Unifying Framework for Probabilistic Inference, in Proceedings of Uncertainty in AI, Portland, Oregon.
de Garis, H. (1990). Building Artificial Nervous Systems Using Genetically Programmed Neural Network Modules. Machine Learning: Proceedings of the Seventh International Converence, 132-139.
de Kleer J. (1984).How Circuits Work. Artificial Intelligence, 24,pp 205-280. (a shorter summary)
Do, E. Y. & Gross, M. D. (2001). Thinking with diagrams in architectural design. Artificial Intelligence Review. 15 135--149.
Donald, M. (1991) Origins of the modern mind: three stages in the evolution of cognition and culture. The President and Fellows of Harvard College. Chapter 1.
Doyle, J. (1988) Big problems for artificial intelligence. AI Magazine. 9(1) 19-22.
Driskell, J. E., Copper, C., & Moran, A. (1994). Does mental practice enhance performance?. Journal of Applied Psychology, 79(4), 481.
Dunbar, K. & Blanchette, I. (2001). The invivo/invitro approach to cognition: the case of analogy. Trends in Cognitive Sciences, 5, 334--339.
Durrant, R., and Ellis, B.J. (2003). Evolutionary psychology. In M. Gallagher, R. J. Nelson, & I. B. Weiner (Eds.) Handbook of psychology: Biological psychology, 3, 1-33.
Ellis, R. & Humphreys, G. W. (1999). Chapter 4: Perception. In Connectionist Psychology: A Text with Readings. Psychology Press.
Ericsson, K. A. (1996). The acquisition of expert performance: An introduction to some of the issues. In K. A. Ericsson (Ed.), The road to excellence: The acquisition of expert performance in the arts and sciences, sports, and games (pp. 1-50). Mahwah, NJ: Lawrence Erlbaum.
Ericsson, K. A. & Charness, N. (1997). Cognitive and developmental factors in expert performance. In P. J. Feltovich, K. M. Ford, & R. R. Hoffman (Eds.), Expertise in context: Human and machine (pp 3-41). Cambridge, MA: MIT Press.
Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102, 211-245.
Ericsson, K. A., Krampe, R. Th., & Tesch-Roemer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363-406.
Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence of maximal adaptation to task. Annual Review of Psychology, 47, 273-305.
Ericsson, K. A., & Staszewski, J. J. (1989). Skilled memory and expertise: Mechanisms of exceptional performance. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert A. Simon (pp. 235-267). Hillsdale, NJ: Lawrence Erlbaum.
Eysenck, M. W. & Keane, M. T. (1995). Chapter 4: Theories of perception, movement, and action. In Cognitive Psychology: A Student's Handbook, Lawrence Erlbaum, Hillsdale, USA.
Falkenhainer, B., K. D. Forbus, D. Gentner (1990). The Structure mapping engine: algorithm and examples. Artificial Intelligence (41) pp1-63.
Falkenhainer, B.,(1990) A unified approach to explanation and theory formation. In Shrager, J. & Langley, P. (eds.) Computational Models of Scientific Discovery and Theory Formation. Morgan Kaufman: San Meteo, CA. pp 157--196.
Faltings, B. and Sun, K. (1995). "FAMING: Supporting Innovative Mechanism Shape Design," Computer-Aided Design.
Farah, M.J. (2000). The neural bases of mental imagery. In M,S. Gazzaniga (Ed), The cognitive neurosciences (2^nd ed., 965-974). Cambridge, MA: MIT Press.
Ferguson, R. W. & Forbus, K. D. (1998) Telling juxtapositions: Using repetition and alignable difference in diagram understanding. In Holyoak, K., Gentner, D., & Kokinov, B. (Eds.) Advances in Analogy Research, 109--117. Sofia: New Bulgarian University.
Ferguson, R. W., & Forbus, K. D. (2000). GeoRep: A flexible tool for spatial representation of line drawings, Proceedings of the 18th National Conference on Artificial Intelligence. Austin, Texas: AAAI Press.
Fermuller, C.& Y. Aloimonos (1995). Vision and Action, IVC, 13(10):725-744
Fisher, D.H. (1987), Knowledge Acquisition via Incremental Conceptual Clustering, Machine Learning 2:139-172, reprinted in Shavlik & Dietterich (eds.), Readings in Machine Learning, section 3.2.1.
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Forbus, K.D, Ferguson, W. R. Gentner, D. (1994). Incremental Structure Mapping, Proceedings of the 14th Annual Conference of the Cognitive Science Society, 313--318.
Forbus, K. D. (1995). Qualitative spatial reasoning framework and frontiers. In Diagrammatic Reasoning, Glasgow, J., Narayanan, N. H. A., and Chandrasekaran, B., AAAI Press, 1995. pp 183--202.
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Gero, John S. (1990). Design Prototypes: A Knowledge Representation Schema for Design. AI Magazine, 11:4, 26-36.
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H. Kautz and B. Selman (1996). Pushing the Envelope: Planning, Propositional Logic and Stochastic Search, Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96), Portland, OR.
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Kool, W., McGuire, J., Rosen, Z. and Botvinick M. (2010). Decision Making and the Avoidance of Cognitive Demand. Journal of Experimental Psychology: General, 1-18.
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See also Zach Hambrick's Cognitive Psychology Summaries.

JimDavies ( jim@jimdavies.org )