Jim Davies: Resume: Publications

Jim Davies: Resume: Publications

This is a list of my papers. Many can be downloaded.

For highlights, see my homepage at www.jimdavies.org.
For a complete listing of everything I've done, see my CV, available as a PDF file.

For important papers organized by topic, see my research page.

JOURNAL ARTICLES:

Gagne, J. & Davies, J. (in press). Visuo: A model of visuospatial instantiation of quantitative magnitudes. Knowledge Engineering Review: Special Issue on Visual Reasoning.

Davies, J., Atance, C. & Martin Ordas, G. (2011). A framework and open questions on imagination in adults and children. Imagination, Cognition, and Personality, Special issue on mental imagery in children. 31:1-2, 143--157.

Davies, J., Goel, A. K., & Nersessian, N. J. (2009). A Computational Model of Visual Analogies in Design. Cognitive Systems Research: Special Issue on Analogies, 10, 204--215.

Davies, J., Goel, A. K. & Yaner, P. W. (2008). Proteus: Visuospatial analogy in problem solving. Knowledge-Based Systems.

Davies, J. & Goel, A. K. (2008). Visual representations and re-representation in analogical reasoning. The Open Artificial Intelligence Journal, 2, 11--20.

Davies, J. & Goel, A. K. (2007a). Transfer of problem-solving strategy using the cognitive visual language. The Journal of Visual Languages and Computing. 18:2 149--164.

Davies, J., Glasgow, J. & Kuo, T. (2006). Visio-spatial case-based reasoning: A case study in prediction of protein structure. Computational Intelligence: 18, 149--164.

Glasgow, J., Kuo, T. & Davies, J. (2006). Protein structure from contact maps: a case-based reasoning approach. Information Systems Frontiers, Special Issue on Knowledge Discovery in High-Throughput Biological Domains, 8: 29--36.

Davies, J., Nersessian, N. J., & Goel, A. K. (2005). Visual models in analogical problem solving. Foundations of Science, special issue on Model-Based Reasoning: Visual, Analogical, Simulative. Magnani, L. & Nersessian, N. J., Eds. 10(1). 133--152

Billman, D. & Davies, J. (2005). Consistent contrast and correlation in free sorting. American Journal of Psychology. 118 (3), pp. 353--383.

CONFERENCE PROCEEDINGS

Somers, S., Gagné, J., Astudillo, C., & Davies, J. (2011). Using semantic similarity to predict angle and distance of objects in images. In Proceedings of the 8th ACM Conference on Creativity & Cognition (pp. 217-222). Atlanta, Georgia.
Stapleton, C. & Davies, J. (2011). Imagination: The third reality to the virtuality continuum. 2011 IEEE International Symposium on Mixed and Augmented Reality. (ISMAR-2011). 53--60. Basel, Switzerland.
Schoenherr, J., Thomson, R. &, Davies, J. (2011). What makes an explanation believable?: Mechanistic and anthropomorphic explanations of natural phenomena. The Thirty-Third Annual Meeting of the Cognitive Science Society (COGSCI-11), 1424--1429.
Davies, J. & Gagné, J. (2010). Estimating quantitative magnitudes using semantic similarity. Conference of the American Association for Artificial Intelligence workshop on Visual Representations and Reasoning (AAAI-10-VRR), 14--19, Atlanta, Georgia, USA.

Davies, J. & Yaner, P. W. (2010). Analogical mapping through visual abstraction. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (CogSci 2010), (pp. 1553--1558). Austin, TX: Cognitive Science Society.

Davies, J. & Gagné, J. (2009). Analogical estimation of quantitative magnitudes. New Frontiers of Analogy Research: Proceedings of Analogy 09, 155--164, Sofia, Bulgaria.

Thomson, R. & Davies, J. (2009) Distance estimation as a process of generating ad-hoc metrical systems. Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society. 2932--2937.

Davies, J., Glasgow, J. & Kuo, T. (2007). Protein structure prediction with visuospatial analogy. In T. Barkowsky, M. Klnauff, G. Ligozat, & D. R. Montello (Eds.) Lecture Notes in Artificial Intelligence 4387 Spatial Cognition V: Reasoning, Action, Interaction (LNAI 4387) 127--139.

Davies, J., Goel, A. K. & Nersessian, N. J. (2005). Transfer of problem-solving strategy using the Cognitive Visual Language. Proceedings of the International Workshop on Visual Languages and Computing (VLC05). 293--298.

Davies, J., Goel, A. K. & Nersessian, N. J. (2005). Transfer in visual case-based problem-solving. In H. Munoz-Avila & F. Ricci (Eds.) Proceedings of the 6th International Conference on Case-Based Reasoning. Springer-Verlag. Berlin Heidelberg. 163--176.
Davies, J., Goel, A. K., & Nersessian, N. J. (2005). A cognitive model of visual analogical problem-solving transfer. Poster paper in L. P. Kaelbling & Saffioti, A. (Eds.) The Proceedings of the Nineteenth Annual International Joint Conference on Artificial Intelligence. Professional Book Center, Denver, CO. pp 1556--1557.
Davies, J. & Goel, A. K. (2003). Visual case-based reasoning I: Transfer and adaptation. Proceedings of The 1st Indian International Conference on Artificial Intelligence. Springer.
Davies, J., & Goel, A. K. (2003). Representation issues in visual analogy. Proceedings of The 25th Annual Conference of the Cognitive Science Society.
Nersessian, N. J., Kurz-Milcke, E., Newstetter, W. C., & Davies, J. (2003). Research laboratories as evolving distributed cognitive systems. In A. Markman and L. Barsalou (Eds.) Proceedings of The 25th Annual Conference of the Cognitive Science Society. pp.857-862. Erlbaum. Hillsdale, NJ.
Nersessian, N. J., Newstetter, W. C., Kurz-Milcke, E. & Davies, J. (2002). A mixed-method approach to studying distributed cognition in evolving environments. In Proceeedings of the International Conference on Learning Sciences. 307--314.
Davies, J., & Goel, A. K. (2001). Visual analogy in problem solving. Proceedings of the International Joint Conference on Artificial Intelligence . pp 377-382. Morgan Kaufmann publishers.
Davies, J. R., Nersessian, N. J. & Goel, A. K. (2001). The role of visual analogy in scientific discovery. Model-Based Reasoning: Scientific Discovery, Technological Innovation, Values. Pavia, Italy.
Davies, J. R., Lesh, N., Rich, C., Sidner, C. L., Gertner, A. S., Rickel, J. (2001). Incorporating tutorial strategies into an intelligent assistant. in Lester, J. (Ed.) Proceedings of the 2001 International Conference on Intelligent User Interfaces.
[ Triton Webpage ]

REFEREED CONFERENCE AND WORKSHOP PRESENTATIONS

Davies, J. (2009). Experience-based reasoning as the basis of a general artificial intelligence architecture. IJCAI workshop on Grand Challenges For Reasoning From Experiences. July 11, Pasadena, California.
Burch, H., Davies, J., & Schoenherr, J.R. (2009). The believability of anthropomorphic explanations. 2009 Annual Convention of the Canadian Psychological Association, June 11- 13, Montréal, Québec.
Schoenherr, J.R., Davies, J., & Burch, H. (2009). Regularities in Human Visuospatial Imagination. 2009 Annual Convention of the Canadian Psychological Association, June 11- 13, Montréal, Québec.
Davies, J., Schoenherr, J.R., & Bell, J. (2009). Psychological Dimensions of Graphical Representation of Science. 2009 Annual Convention of the Canadian Psychological Association, Ottawa, Ontario, March 22, p151.
Schoenherr, J.R., Davies, J., Burch, H., & Thomson, R. (2009). The believability of anthropomorphic explanations. Poster presentation at the 31st Annual Conference of the Société Quéecoise Pour La Recherche En Psychologie (SQRP09). June 11 - 13, Montréal, Québec.
Davies, J., Goel, A. K. & Nersessian, N. J. (2003). Visual Re-Representation in Creative Analogies. The Third Workshop on Creative Systems. International Joint Conference on Artificial Intelligence.
Davies, J., Nersessian, N. J. & Goel, A. K. (2001). Visual analogy in scientific discovery. Cognitive Studies of Science and Technology Workshop, University of Virginia, March 24-27.
Billman, D., D. Davila & J. Davies (1996). Hierarchy and consistent contrast aid supervised and unsupervised concept learning. November 1996, Accepted talk, Conference of the Psychonomics Society.
Galassi, M., Davies, J., Theiler, J., Gough, B., Priedhorsky, R., Jungman, G., & Booth, M. (1999). The GNU scientific library. October 1999, Open Source/Open Science Conference, Brookhaven National Laboratory.

BOOKS

Galassi, M., Davies, J., Theiler, J., Gough, B., Jungman, G., Booth, M., & Rossi, F. (2003) Gnu Scientific Library Reference Manual - Second Edition. Network Theory Ltd.
[ purchase | HTML | GSL FTP site ]
Galassi, M., Davies, J., Theiler, J., Gough, B., Jungman, G., Booth, M., & Rossi, F. (2001) Gnu Scientific Library Reference Manual. Network Theory Ltd. http://www.amazon.com/exec/obidos/ASIN/095416170X/

BOOK CHAPTERS

Nersessian, N. J., Kurz-Milcke, E. & Davies, J. (2005). Ubiquitous computing in science and engineering labs: a case study of a biomedical engineering lab. In Gerassimos Kouzelis, Maria Pournari, Michael Stoeppler and Vasilis Tselfes, (Eds.), Knowledge in the new Technologies. Peter Lang: Berlin 2005. pp. 167--195
Davies, J. R. (2001). Ocelots are endangered South American wild cats. In Ohler, J. (Ed.) Future Courses: A Compendium of Thought About the Future of Technology and Education.

SHORT PAPERS

Davies, J., Goel, A. K., & Nersessian, N. J. (2005). A cognitive model of visual analogical problem-solving transfer. Poster paper in L. P. Kaelbling & A. Saffioti (Eds.) the Proceedings of the Nineteenth Annual International Joint Conference on Artificial Intelligence. Professional Book Center, Denver, CO. 1556-1557.

Nersessian, N. J., Newstetter, W. C., Kurz-Milcke, E., Davies, J., & Malone, K. (2003) Laboratory Learning: Cognition and Learning in Biomedical Engineering Research Labs. NSF presentation.

Newstetter, W. C., Nersessian, N. J., Davies, J., Kurz, E. & Malone, K. (2002) Biomedical Engineering Thinking and Learning: Phase 1--Reasoning in the lab. NSF presentation.

Murdock, W. J., Simina, M., Davies, J., & Shippey, G. (1998). Modeling invention by analogy in ACT-R. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, Madison, WI.

DEMOS

Davies, J. R., Lesh, N., Rich, C., Sidner, C. L., Gertner, A. S., Rickel, J. (2001). Demonstration of collaborative interface agents using COLLAGEN. The 2001 International Conference on Intelligent User Interfaces.

TECHNICAL REPORTS:

Davies, J. (2009). Don't waste student work: Using classroom assignments to contribute to online resources. Carleton University Cognitive Science Technical Report 2009-01, http://www.carleton.ca/ics/TechReports
Davies, J. (2004) Constructive Adaptive Visual Analogy. Doctoral Dissertation. College of Computing, Georgia Institute of Technology.
Davies, J. (2002) Visual Abstraction in Analogical Problem Solving: A Dissertation Proposal. Dissertation Proposal, College of Computing, Georgia Institute of Technology.
[ html ]
Davies, J. (1998) Correlation and consistent contrast biases shown in free sort categorization. Georgia Institute of Technology Cognitive Science Report Series GIT-COGSCI-98/02. Atlanta, Georgia.
Davies, J. R., Goel, A. K., Murdock, J. W., Simina, M., & Shippey, G. (2000). Three Cognitive Models. Georgia Institute of Technology Cognitive Science Report Series GIT-COGSCI-2000/03. Atlanta, Georgia.
[ Despina page ]
Davies, J. R., Lesh, N., Rich, C., Sidner, C. L., Gertner, A. S., & Rickel, J. (2000). Incorporating tutorial strategies into an intelligent assistant. Mitsubishi Electric Research Labs. Technical report TR-2000-30. Cambridge, MA.
Davies, J., Nersessian, N. J., & Goel, A. K. (2001). Visual models in analogical problem solving. Georgia Institute of Technology Cognitive Science technical report GIT-COGSCI-2001/03.

NON-CONFERENCE TALKS

Davies, J. (2010). The Science of Imagination. TEDxCarletonU, March 30.
Davies, J. (2010). A Vision for the Science of Imagination. A. Louis Medin Modeling & Simulation Seminar Series and Cognitive Sciences Student Association at the University of Central Florida Visiting Scholar Series. Talk, panel discussion, student forum. February 16.
Davies, J., & Gagné, J. (2010). Visuo: A Model of Visuospatial Instantiation of Quantita- tive Magnitudes. National Research Council Canada Featured Speaker. January 22.
Schoenherr, J. R. & Davies, J. (2009). Complexity E®ects in Judgments of Maps of Science. The 12th International Conference on Scientometrics and Infometrics. Rio de Janiero, Brazil.
Davies, J. (2007). A.I.: Past and Future. Institute on Biotechnology and the Human Futures (IBHF) Conference, The Spotless Mind? Policy, Ethics & the Future of Human Intelligence, February 16. National Press Club Washington, D.C.
Davies, J. (2006). The role of visual reasoning in analogical problem solving. University of California at Merced. February 16.
Institute of Cognitive Science, Carleton University. February 13.
Davies, J. (2004). Constructive adaptive visual analogy. School of Information Science & Learning Technologies, University of Missouri. May 19.
School of Computing, Queen's University. May 13.
University College Dublin. April 27.
University of Wisconsin at Green Bay. March 24.

Davies, J. & Billman, D. O. (1996) Hierarchical categorization and the effects of contrast inconsistency in an unsupervised learning task. Cognitive Science Brownbag series, Georgia Institute of Technology.February 9.

Davies, J. & Billman, D. O. (1996) Insensitivity to correlation in attribute selection in categorization. Cognitive Science Student Conference, Georgia Institute of Technology. May 16.

Davies, J. (1996) The little neural net that couldn't. Cognitive Science Brownbag series, Georgia Institute of Technology.

Davies, J. & Billman, D. O. (1997) Effects of non-hierarchical attribute consistency on categorization. Cognitive Science Brownbag series, Georgia Institute of Technology. April 24.

Davies, J. & Billman, D. O. (1997) Can hierarchies be informative of which attributes are correlated? Cognitive Science Brownbag series, Georgia Institute of Technology. June 13.

Davies, J. (1999) Primatech's model of ape language use. Cognitive Science Brownbag series, Georgia Institute of Technology.

Davies, J. (1999) Primatech's model of ape language use. GVU five minute madness brownbag presentation, Georgia Institute of Technology.

Davies, J. (1999) Primatech's model of ape language use. GVU industrial affiliate five minute madness presentation, Georgia Institute of Technology.

Davies, J., T. Keenan, W. Rungsarityotin, I. Essa (1999). Primatech: Models and future directions. Graphics, Visualization, and Usability group brownbag presentation, Georgia Institute of Technology.

Davies, J., Goel, A. (2000). A computational theory of visual analogical transfer. Cognitive Science Brownbag series. Georgia Institute of Technology. February 18.

Davies, J. R., Lesh, N., Rich, C., Sidner, C. L., Gertner, A. S., Rickel, J. (2000). Incorporating tutorial strategies into an intelligent assistant. Graphics, Visualization, and Usability Brownbag series, Georgia Institute of Technology. September 14.

Davies, J. R. (2000) A hypothesis for the role of mental imagery in visual analogy. Cognitive Science Brownbag Series, Georgia Institute of Technology. October 27.
[ HTML ]

Davies, J. (2002) A proposal for a theory of visual analogical problem solving. A presentation to the Intelligent Systems Seminar. March 26, 2pm.

Davies, J. (2002) A proposal for a multiple-representation theory of visual analogical problem solving. Cognitive Science Student Conference Georgia Institute of Technology/Emory University. April 9.

Davies, J. (2002) Visual instantiation in analogical problem solving. Dissertation proposal defence. September, 19. Georgia Institute of Technology.

Davies, J., Goel, A. K. (2003). Representation Issues in Visual Analogy. Georgia Tech College of Computing Intelligent Systems Seminar, February 24.

Davies, J., Yaner, P. W. (2003). Analogical mapping through visual abstraction. Georgia Tech Cognitive Science Student Conference April 4, 2003.

Davies, J. (2004). Constructive adaptive visual analogy. Cognitive Science Student Conference. Georgia Institute of Technology, April 23.

RESEARCH-RELATED WEBSITES

Davies, J. (Editor) (1998). Cognitive Science Summaries. Internet webpage: http://www.jimdavies.org/summaries/

LETTERS TO THE EDITOR

July 2000. Wired 8.07
I wrote a letter in respone to Bill Joy's article "Why the future doesn't need us." The article is about the future of artificial intelligence. You can read this fascinating article at http://www.wired.com:80/wired/archive/8.04/joy.html.
My response (along with many others) was published in July's issue of Wired magazine. You can see it on page 70. It's short-- the entire text of my letter follows: "Joy says that the computational power will make smart robots possible by 2030 ("Why the Future Doesn't Need Us," Wired 8.04, page 244). But much cutting-edge AI research doesn't even tax the abilities of our current computers. The bottleneck is more in our understanding of intelligence at a process level than in the raw computational muscle."

JimDavies ( jim@jimdavies.org )