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Ashok K. Goel

Affiliations: 
Georgia Institute of Technology, Atlanta, GA 
Area:
Artificial Intelligence
Website:
http://www.cc.gatech.edu/~goel/
Google:
"Ashok Goel"
Mean distance: 18.99 (cluster 47)
 
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Parents

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B. Chandrasekaran grad student Ohio State

Children

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J. W. Murdock grad student 2001 Georgia Tech
Jim Davies grad student 1997-2004 Georgia Tech
Patrick W. Yaner grad student 2007 Georgia Tech
Tesca Fitzgerald grad student 2013-2020 Georgia Tech
Julia M. Svoboda post-doc Georgia Tech

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Publications

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Fitzgerald T, Goel A, Thomaz A. (2021) Modeling and Learning Constraints for Creative Tool Use. Frontiers in Robotics and Ai. 8: 674292
Wiltgen BJ, Goel AK. (2019) A computational theory of evaluation in creative design Ibm Journal of Research and Development. 63: 1:1-1:11
Parashar P, Goel AK, Sheneman B, et al. (2018) Towards life-long adaptive agents: using metareasoning for combining knowledge-based planning with situated learning The Knowledge Engineering Review. 33
Goel AK, Rugaber S. (2017) GAIA: A CAD-Like Environment for Designing Game-Playing Agents Ieee Intelligent Systems. 32: 60-67
Goel AK, Zhang G, Wiltgen B, et al. (2015) On the benefits of digital libraries of case studies of analogical design: Documentation, access, analysis, and learning Artificial Intelligence For Engineering Design, Analysis and Manufacturing: Aiedam. 29: 215-227
Helms M, Goel AK. (2014) The four-box method: Problem formulation and analogy evaluation in biologically inspired design Journal of Mechanical Design, Transactions of the Asme. 136
McGreggor K, Kunda M, Goel A. (2014) Fractals and ravens Artificial Intelligence. 215: 1-23
Goel AK. (2013) Biologically inspired design: A new program for computational sustainability Ieee Intelligent Systems. 28: 80-84
Summers JD, Eckert C, Goel A. (2013) Function in engineering: Benchmarking representations and models Proceedings of the International Conference On Engineering Design, Iced. 2: 223-232
Kunda M, McGreggor K, Goel AK. (2013) A computational model for solving problems from the Raven's Progressive Matrices intelligence test using iconic visual representations Cognitive Systems Research. 22: 47-66
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