publications
I've had the privilege of working in two disciplines in my graduate and undergraduate careers: Artificial Intelligence and Distributed Object Computing, respectively. Here you'll find my work in both areas, with the newest work (Artificial Intelligence) first.
This page was last updated in August 2012 - visit my more up-to-date page: http://sites.google.com/site/scottfriedmanresearch/.
Theses & Technical Reports
. (2012).
Computational Conceptual Change: An Explanation-Based Approach.
Doctoral Dissertation. Northwestern University, Department of Electrical En-gineering and Computer Science, Evanston, Illinois.
. (2005).
Dusty Caches to Save Memory Traffic.
Thesis for Master of Science in Computer Science. Washington University in St. Louis, MO.
Refereed Conferences & Journals
(2011).
Repairing Incorrect Knowledge with Model Formulation and Metareasoning. Proceedings of the 22nd International Joint Conference on Artificial Intelligence. Barcelona, Spain.
(2011).
Modeling structural priming in sentence production via analogical processes. Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Boston, MA.
(2010).
An integrated systems approach to explanation-based conceptual change. Proceedings of the 25th AAAI Conference on Artificial Intelligence. Atlanta, GA.
(2010). Learning concepts from sketches via analogical generalization and near-misses. Proceedings of the 32nd Annual Conference of the Cognitive Science Society (CogSci). Portland, OR.
(2010).
Curriculum Design of a Case-Based Knowledge Translation Shift for Emergency Medicine Residents.
Academic Emergency Medicine, 17(s2): 42-48.
(2009).
Learning Naive Physics Models by Analogical Generalization. Proceedings of the 2nd International Analogy Conference. Sofia, Bulgaria.
(2009).
Classifying Paintings by Artistic Genre: An Analysis of Features & Classifiers. Proceedings of Multimedia Signal Processing (MMSP). Rio de Janiero, Brazil.
(2009).
Learning Naive Physics Models & Misconceptions. Proceedings of the 31st Annual Conference of the Cognitive Science Society (CogSci). Amsterdam, Netherlands.
(2008).
Learning Causal Models via Progressive Alignment & Qualitative Modeling: A Simulation. Proceedings of the 30th Annual Conference of the Cognitive Science Society (CogSci). Washington, D.C.
(2005).
Extracting and Improving Microarchitecture Performance on Reconfigurable Architectures.
International Journal of Parallel Programming, Volume 33, Issue 2 - 3, Jun 2005, Pages 115 - 136.
Refereed Workshops & Symposia
(2011).
Constructing and revising commonsense science explanations: A metareasoning approach. Proceedings of the AAAI Fall Symposium on Advances in Cognitive Systems.
(2011).
How do the seasons change? Creating & revising explanations via model formulation & metareasoning. Proceedings of the 25th International Workshop on Qualitative Reasoning. Barcelona, Spain.
(2011).
Edge-cycles: A qualitative sketch representation to support recognition. Proceedings of the 25th International Workshop on Qualitative Reasoning. Barcelona, Spain.
(2010). Combining progressive alignment and near-misses to learn concepts from sketches. Proceedings of the 24th International Workshop on Qualitative Reasoning. Portland, OR.
(2009).
Learning and Reasoning with Qualitative Models of Physical Behavior. Proceedings of the 23rd International Workshop on Qualitative Reasoning. Ljubljana, Slovenia.
(2008).
Learning Qualitative Causal Models via Generalization & Quantity Analysis. Proceedings of the 22nd International Workshop on Qualitative Reasoning. Boulder, CO.
(2008).
Learning Modeling Abstractions via Generalization. Proceedings of the 22nd International Workshop on Qualitative Reasoning. Boulder, CO.
(2006).
Cycle-Accurate Microarchitecture Performance Evaluation.
IEEE Workshop on Introspective Architecture (WISA). Presentation.
(2005).
Dusty Caches for Reference Counting Garbage Collection.
MEDEA Workshop. Presentation.
(2005).
Dusty Caches for Reducing Reference-Counting Memory Traffic. IEEE Workshop: Architecture Research using FPGA Platforms (WARFP), HPCA11 Conference.
(2004).
Microarchitecture Optimization for Embedded Systems presentation.
High Performance Embedded Computing (HPEC8) Workshop. Presentation.
(2004).
Extracting and Improving Microarchitecture Performance on Reconfigurable Architectures.
CASES CTCES Workshop.
. (2001).
Hashtables for Embedded and Real-Time Systems.
IEEE Real-Time Embedded Systems (RTES) Workshop.
Refereed Abstracts
(2011). An Analogical Learning Model of the Development of Thematic Roles & Structural Priming. Boston University Conference on Language Development (BUCLD).
