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Papers

Page history last edited by Jim Davies 5 years, 7 months ago

Books

Davies, J. (forthcoming, August 5, 2014). Riveted: The Science of Why Jokes Make us Laugh, Movies Make Us Cry, and Religion Makes Us Feel One with the Universe. Palgrave Macmillan.

 

Galassi, M., Davies, J., Theiler, J., Gough, B., Jungman, G., Booth, M., & Rossi, F. (2001, 2003) Gnu Scientific Library Reference Manual. First and Second Editions. Network Theory Ltd.

 

Chapters in edited books

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 G. Kouzelis, M. Pournari, M. Stoeppler and V. Tselfes, (Eds.), Knowledge in the New Technologies. Peter Lang: Berlin: 167-195.

 

Davies, J. (2014). Don’t waste student work: Using classroom assignments to contribute to online resources. Chapter 19 in E-Learning systems, environments, and approaches: Theory and implementation. Edited by P. Isaias, J. Michael Spector, D. Ifenthaler and  D. G. Sampson. Springer: New York. 277-285.

 

 

Articles in refereed journals

 

Cockbain, J., Vertolli, M. & Davies, J. (in press). Creative imagination is stable across technological media: The Spore Creature Creator versus pencil and paper. The Journal of Creative Behavior.

 

Gagné, J. & Davies, J. (2013). Visuo: A model of visuospatial instantiation of quantitative magnitudes. Knowledge Engineering Review. Special Issue on Visual Reasoning, 2(28). 1–20.

 

Davies, J., & Matheson, D. (2012). The cognitive importance of testimony. Principia: The International Journal of Epistemology. 16(2), 297-318. 

 

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-solvingKnowledge-Based Systems. 27(7), 636-654.

 

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

 

Davies, J., & Goel, A. K. (2007). Transfer of Problem-Solving Strategy Using Covlan. Journal of Visual Languages and Computing: 18, 149-164.

 

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

 

Davies, J., Glasgow, J. & Kuo, T. (2006). Visio-spatial case-based reasoning: A case study in prediction of protein structure. Computational Intelligence, 22:3/4, 194-207.

 

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. L. Magnani & N. J. Nersessian (Eds.) 10, 133-152.

 

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

 

Formally Refereed Abstracts

Ouellet, S., Lang, H., MacQuarrie, L., McManus, M., & Davies, J. (2012). 3D SPACE: 3D spatial prepositions analysis and comprehension engine. Psychology Outside the Box 2012. Abstract 47.

 

Abelson, A., Davies, J., Fraser, R., Kuo, T., Zuviria, E. & Glasgow, J. (2005). Protein structure from contact maps: An hierarchical approach. Intelligent Systems for Molecular Biology (ISMB05).

 

Articles in Refereed Conference Proceedings

 

Vertolli, M. O., Kelly, M., & Davies, J. (forthcoming). Compression and decompression in cognition. Artificial General Intelligence (AGI-14).

 

Vertolli, M. O., Breault, V., Ouellet, S., Somers, S. Gagné, J., & Davies, J. (forthcoming). Theoretical assessment of the SOILIE model of the human imagination. Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci-2014).

 

Vertolli, M. O. & Davies, J. (forthcoming). Coherence in the visual imagination: Local hill search outperforms Thagard’s connectionist model. Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci-2014).

 

Davies, J. (2013). Don’t waste student work. Proceedings of the Cognition and Exploratory Learning in Digital Age conference (CELDA-13). Fort Worth, Texas. October 22-24, 2013.

 

Breault, V., Ouellet, S., Somers, S. & Davies, J. (2013). SOILIE: A computational model of 2D imagination. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling, Ottawa: Carleton University.  95—100.

 

Davies, J. (2013). The role of artificial intelligence research methods in cognitive science. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling, Ottawa: Carleton University. 439—444.

 

Ouellet, S., Somers, S., & Davies, J. (2013). High-level representation of 3D models of buildings. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling, Ottawa: Carleton University. 408—413.

 

Ouellet, S. & Davies, J. (2013). Using prepositions to describe three-dimensional scenes: A model of spatial relation apprehension and interference. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling, Ottawa: Carleton University. 209—214.

 

Vertolli, M. O. & Davies, J. (2013). Visual imagination in context: Retrieving a coherent set of labels with Coherencer. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling, Ottawa: Carleton University. 263—268.

 

Li, H., Mould, D. & Davies, J. (2013): Structure and aesthetics in non-photorealistic
images
. In Proceedings of Graphics Interface 2013, Regina, Saskatchewan, pp 181-188. 

 

Davies, J. & Fortney, M. (2012). The menton theory of boredom and engagement.

Proceedings of the First Annual Conference on Advances in Cognitive Systems. 131–143.

 

Somers, S., Gagné, J., Astudillo, C., & Davies, J. (2011). Using semantic similarity to predict angle and distance of objects in images. The ACM Conference on Creativity & Cognition, 2011. 217-222.

 

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.

 

Davies, J. & Yaner, P. W. (2010). Analogical mapping through visual abstraction. The Annual Conference of the Cognitive Science Society (CogSci 2010), 1553—1558.

 

Bell, J. & Davies, J. (2010). Pixel graphs are better at representing large quantities of information than pie graphs. Theory and Application of Diagrams (Diagrams-2010), 288-291.

 

Smith, C., Van Bentham, K., Nuttall, J., Musca, J., MacDougall, K., Miller, X., Li, J., Fitzpatrick, J., Di Noia, N., Cybulskie, A., & Davies, J. (2010). Modeling English

spatial preposition detectors. Theory and Application of Diagrams (Diagrams-2010), 328—330.  

 

Gagné, J. & Davies, J. (2009). Analogical estimation of quantitative magnitudes. New Frontiers of Analogy Research: Proceedings of Analogy 09, 155-164, Sophia, 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. (2009). Experience-based reasoning as the basis of a general artificial intelligence architecture. IJCAI Workshop on Grand Challenges for Reasoning from

Experiences. 1-6. Pasadena, California, July 11, 2009.

 

Davies, J., Glasgow, J. & Kuo, T. (2007). Protein structure prediction with visuospatial analogy. In T. Barkowsky, C. Freksa, M. Klnauff, & B. Krieg-Bruckner (Eds.)  Proceedings of Spatial Cognition 2006, 127-139, Bremen, Germany.

 

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. LNAI 3620. Springer-Verlag. Berlin Heidelberg. 163-176.

 

Davies, J., Goel, A. K. & Nersessian, N. J. (2005). A Cognitive Model of visual analogical problem-solving transfer. In L. P. Kaelbling & A. Saffioti

 (Eds.) Proceedings of the Nineteenth Annual International Joint Conference on Artificial Intelligence. Professional Book Center, Denver, Colorado. 1556-1557.

 

Nersessian, N. J., Kurz-Milke, E., Newstetter, W. C. & Davies, J. (2004). Research laboratories as evolving distributed cognitive systems. In A. Markman & L. Barsalou (Eds.)  Proceedings of the 25th Annual Conference of the Cognitive Science Society. Erlbaum. Hillsdale, New Jersey. 857-862.

 

Davies, J. & Goel, A. K. (2003). Representation Issues in visual analogy. In R. Alternam & D. Kirsh (Eds.) Proceedings of the 25th Annual Conference of the Cognitive Science Society. Erlbaum. Hillsdale, New Jersey. 300-305.

 

Davies, J., Goel, A. K., & Nersessian, N. J. (2003). Visual re-representation in creative analogies. In A. Cardoso & J. Gero (Eds.) The Third Workshop on Creative Systems, International Joint Conference on Artificial Intelligence. 1-12.

 

Davies, J. & Goel, A. K. (2003). Visual case-based reasoning I: Transfer and adaptationProceedings of the First Indian International Conference on Artificial Intelligence. Hyderabad, India.

 

Nersessian, N. J., Newstetter, W. C., Kurz-Milcke, E. & Davies, J. (2002). A Mixed-method Approach to Studying Distributed Cognition in Evolving Environments.

Proceedings 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. 377-382. Morgan

Kaufmann publishers.

 

Davies, J. R., Lesh, N., Rich, C., Sidner, C. L., Gertner, A. S., & Rickel, J. (2001). Incorporating tutorial strategies into an intelligent assistant.  Proceedings of the 2001 International Conference on Intelligent User Interfaces. 53-65.

 

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.

 

Murdock, W. J., Simina, M., Davies, J., & Shippey, G. (1998).  Modeling Invention by Analogy in ACT-R. Proceedings of the Twentieth Annual Conference of the

Cognitive Science Society, Madison, WI. 740-745.

 

Articles Under Review

Davies, J. & Bicknell, J. (under review). Imagination and belief: The microtheories model of hypothetical thinking.

 

McManus, M., Vertolli, M. & Davies, J. (under review). The effects of specific physical features on perceived intelligence. 

 

Encyclopedia entries

Davies, J. (2013). Imagination. Encyclopedia of Creativity, Invention, Innovation, and Entrepreneurship. 899—902.

 

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. Technical Report Number: GIT-COGSCI-2004/3

 

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.

 

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. 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.

 

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.

 

 

Other Publications

Davies, J. (2013). Do your political opinions affect how far away you think Vancouver is? Carleton Now, December.

 

Davies, J. (2013). Iron curtain of the mind—Our tangles thoughts on geography. Nautilus December 6 blog entry.

 

Davies, J. (2013). Explaining the Unexplainable: When Logic Fails, Stories and Superstitions Prevail. Nautilus Magazine Article.

 

Davies, J. (2013). Education Is a Waste of Effort—But It Doesn’t Have to Be. Nautilus November 26 blog entry.

 

Davies, J. (2013). Informal Assessment and Asking Questions in Class. Guest blog post on the Carleton University Educational Development Blog. October 28.

 

Davies, J. (2013). Fame is a magnet that reveals our weak hold on reality. Nautilus, September 5 blog entry.

 

Davies, J. (2013). Why people get lost in good books. Nautilus July 15 blog entry.

 

Davies, J. (2013). Why do we get transported by stories we know are false? Nautilus,

July 16 blog entry.

 

Davies, J. (2012). Academic obfuscations: The psychological attraction of postmodern

nonsense. Skeptic 17:4, 44-47.

 

 

 

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