Matthew Klenk (klenk.matt@gmail.com) Member of the Research Staff Embedded Reasoning Area Palo Alto Research Center Palo Alto, CA

Education

B.A. Computer Science, Emory University, May 2003

M.S. Computer Science, Northwestern University, December 2006

Ph.D. Computer Science, Northwestern University, June 2009

Research Interests

To increase the capabilities of artificial intelligence (AI) systems, it is necessary to think broadly about tasks requiring intelligent behavior. In my research, I design intelligent agents capable of carrying out human tasks (e.g., playing strategy simulations, learning to solve intelligence test questions, exploiting cross-domain analogies). When people perform these tasks, they draw on considerable knowledge and experiences. Consequently, my research explores possible forms of this knowledge, how it can be learned, and how it can be applied in new situations. The results of this research have applications in training simulations by creating more realistic participants, new interfaces for working through analogies, plans, and spatial concepts, and, finally, embedded reasoning in autonomous systems for domestic, workplace, and military applications. While beyond the capabilities of current AI systems, intelligent behavior across a range of tasks would not just increase the autonomy of existing systems, but would also enable human users to treat AI systems as collaborators drawing on shared experiences in a wide array of tasks, instead of merely as tools.

Toward this vision, my research focuses on the following areas:

• Transfer Learning and Analogy
• Qualitative Reasoning, Model Formulation and Simulation
• Natural Interaction and Sketching
• Continual Planning and Goal Reasoning

Publications

[Curriculum Vitae]

Dissertation

1. Klenk, M. 2009. Using Analogy to Overcome Brittleness in AI Systems. Department of Electrical Engineering and Computer Science. Northwestern University. June 2009. [pdf]

Journals

1. Klenk, M., Molineaux, M., and Aha, D. (under review) Goal-driven autonomy for responding to unexpected events in complex environments. Computational Intelligence.
2. Klenk, M. and Forbus, K. (under review). Analogical Model Formulation for Transfer Learning in AP Physics. Artificial Intelligence. Elsevier.
3. Klenk, M., Forbus, K., Tomai, E., and Kim, H. (in press). Using Analogical Model Formulation with Sketches to Solve Bennett Mechanical Comprehension Test Problems. Journal Experimental and Theoretical Artificial Intelligence, Special Issue on “Test-Based AI”. Taylor & Francis.
4. Klenk, M., Aha, D. and Molineaux, M. 2011. Making the case for transfer: Case-based transfer learning. AI Magazine. AAAI Press.
5. Klenk, M. and Forbus, K. 2009. Analogical Model Formulation for Transfer Learning in AP Physics. Artificial Intelligence. Elsevier. [link]
6. Klenk, M. and Forbus, K. 2009. Domain Transfer via Cross-Domain Analogy. Cognitive Systems Research, Special Issue on “Analogies: Integrating Cognitive Abilities”. Elsevier. [pdf]
7. Forbus, K., Klenk, M., and Hinrichs, T. 2009. Companion Cognition Systems: Design Goals and Some Lessons Learned. IEEE-Intelligent Systems, Special Issue on “Human-level Intelligence”

Conferences

1. Molineaux, M., Klenk, M., and Aha, D. 2010. Planning in dynamic environments: Extending HTNs with nonlinear continuous effects. In Proceedings of Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10). Atlanta, GA. 26% acceptance rate. [pdf]
2. Molineaux, M., Klenk, M., and Aha, D. 2010. Goal-driven autonomy in a navy training simulation. In Proceedings of Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10). Atlanta, GA. 29% acceptance rate (special track on Integrated Intelligence). [pdf]
3. Munoz-Avila, H., Aha, D.W., Jaidee, U., Klenk, M., and Molineaux, M. 2010. Applying goal directed autonomy to a team shooter game. In Proceedings of the Twenty-Third Florida Artificial Intelligence Research Society Conference.
4. Klenk, M. and Forbus, K. 2009. Persistent Mappings in Cross-Domain Analogical Learning of Physics Domains. Proceedings of the 2nd International Analogy Conference. Sofia, Bulgaria. [pdf]
5. Dehghani, M., Tomai, E., Forbus, K., and Klenk, M. 2008. An Integrated Reasoning Approach to Moral Decision-Making. Proceedings of AAAI-08: 23rd National Conference on Artificial Intelligence. Chicago, IL. 24% acceptance rate. [pdf]
6. Dehghani, M., Tomai, E., Forbus, K., Iliev, R., and Klenk, M. 2008. MoralDM: A Computational Modal of Moral Decision-Making. Proceedings of the 30th Annual Conference of the Cognitive Science Society (CogSci-08), Washington, D.C. [pdf]
7. Klenk, M. and Forbus, K. 2007. Cognitive modeling of analogy events in physics problem solving from examples. Proceedings of the 29th Annual Conference of the Cognitive Science Society (CogSci-07). Nashville, TN.
8. Klenk, M. and Forbus, K. 2007. Measuring the level of transfer learning by an AP Physics problem-solver. Proceedings of AAAI-07: 22nd National Conference on Artificial Intelligence, Vancouver, BC. 27% acceptance rate.
9. Paritosh, P.K. and Klenk, M. 2006. Cognitive Processes in Quantitative Estimation: Analogical Anchors and Causal Adjustment. Proceedings of the 28th Annual Conference of the Cognitive Science Society (CogSci-06). Vancouver, Canada. [pdf]
10. Klenk, M., Forbus, K., Tomai, E., Kim,H., and Kyckelhahn, B. 2005. Solving Everyday Physical Reasoning Problems by Analogy using Sketches. Proceedings of AAAI-05: 20th National Conference on Artificial Intelligence, Pittsburgh, USA. 18% acceptance rate. [pdf]

Workshops and Symposia

1. Klenk, M., Hawes, N., and Lockwood, K. 2011. Representing and Reasoning About Spatial Regions Defined by Context. in AAAI Fall Symposium Series on Advances in Cognitive Systems. Washington, DC. [pdf]
2. Gupta, K., Schneider, A., Klenk, M., Gillespie, K., and Karneeb, J. 2011. Representing and Reasoning with Functional Knowledge for Spatial Language Understanding. In CogSci Workshop on Computational Models for Spatial Language Interpretation and Generation (CoSLI-2). Boston, MA.
3. Molineaux, M. Kutur, U., and Klenk, M. 2011. What Just Happened? Explaining the Past in Planning and Execution. To appear in T. Roth-Berghofer, N. Tintarev, & D.B. Leake (Eds.) Explanation-Aware Computing: Papers from the IJCAI Workshop. Barcelona, Spain
4. Klenk, M. 2010. Goal-Driven Autonomy in Planning and Acting. AAAI-10 Workshop on Goal directed Autonomy. Atlanta, GA. [pdf]
5. Klenk, M. 2009. Transfer as a Benchmark for Multi-Representational Architectures. AAAI Fall Symposium on Multi-Representational Architectures, Washington, DC. [pdf]
6. Laviers, K., Sukthankar, G., Klenk, M., Aha, D., and Molineaux, M. 2009. Opponent Modeling and Spatial Similarity to Retrieve and Reuse Superior Plays. ICCBR Workshop on Case-Based Reasoning for Computer Games. Seattle, WA. [pdf]
7. Forbus, K., Hinrichs, T., and Klenk, M., 2008. Companion Cognitive Systems: Design Goals and Some Lessons Learned. AAAI Fall Symposium on Naturally-Inspired Artificial Intelligence, Washington, DC.
8. Dehghani, M., Tomai, E., Forbus, K., Iliev, R., and Klenk, M. 2008. MoralDM: A Computational Modal of Moral Decision-Making. Abstract accepted at the 2008 meeting of Society of Judge and Decision Making (SJDM). Chicago, IL.
9. Klenk, M., Friedman, S., and Forbus, K. 2008. Learning Modeling Abstractions via Generalization. 22nd International Workshop on Qualitative Reasoning. Boulder, CO. [pdf]
10. Dehghani, M., Tomai, E., Forbus, K., and Klenk, M. 2008. Order of Magnitude Reasoning in Modeling Moral Decision-Making. 22nd International Workshop on Qualitative Reasoning. Boulder, CO. [pdf]
11. Klenk, M. and Forbus, K. 2007. Cross domain analogies for learning domain theories. In Angela Schwering et al. (Eds.), Analogies: Integrating Multiple Cognitive Abilities. Publications of the Institute of Cognitive Science, University of Osnabrück, Volume 5-2007 [pdf]
12. Klenk, M. and Forbus, K. 2007. Learning domain theories via analogical transfer. Proceedings of 21st International Workshop on Qualitative Reasoning Workshop. Aberystwyth, U.K.
13. Klenk, M. and Forbus, K. 2006. Analogical Model Formulation for AP Physics Problems. 20th International Workshop on Qualitative Reasoning. Hanover, USA. [pdf]
14. Klenk, M., Forbus, K., Tomai, E., Kim,H., and Kyckelhahn, B. 2005. Solving Everyday Physical Reasoning Problems by Analogy using Sketches. Proceedings of 19th International Workshop on Qualitative Reasoning. Graz, Austria. [pdf]
15. Forbus, K., Lockwood, K., Klenk, M., Tomai, E., and Usher, J. 2004. Open-domain sketch understanding: The nuSketch approach. AAAI Fall Symposium on Making Pen-based Interaction Intelligent and Natural, Washington, DC, USA. [pdf]

Other Publications

1. Klenk, M. (June 22nd, 2009) My Computer, My Collaborator. The AI Report on Fobres.com. Available at http://www.forbes.com/ai/