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

[Curriculum Vitae]

Publications

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  Conference (13)

  2012 (3)

Guiding and Verifying Early Design Using Qualitative Simulation. Klenk, M.; de Kleer, J.; Bobrow, D. G.; Yoon, S.; Hanley, J.; and Janssen, B. 2012. In Proceedings of the ASME 2012 IDETC and CIE, Chicago, IL.
Guiding and Verifying Early Design Using Qualitative Simulation Bibtex    

Towards a Cognitive System that Can Recognize Spatial Regions Based on Context. Hawes, N.; Klenk, M.; Lockwood, K.; Horn, G. S.; and Kelleher, J. D. 2012. In Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada.
Towards a Cognitive System that Can Recognize Spatial Regions Based on Context Towards a Cognitive System that Can Recognize Spatial Regions Based on Context Bibtex    

DiscoverHistory: understanding the past in planning and execution. Molineaux, M.; Kuter, U.; and Klenk, M. 2012. In International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2012, Valencia, Spain, June 4-8, 2012 (3 Volumes), 989-996.
DiscoverHistory: understanding the past in planning and execution Bibtex    

  2010 (3)

Applying Goal Driven Autonomy to a Team Shooter Game. Mu\ noz-Avila, H.; Aha, D. W.; Jaidee, U.; Klenk, M.; and Molineaux, M. 2010. In Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, May 19-21, 2010, Daytona Beach, Florida.
Applying Goal Driven Autonomy to a Team Shooter Game Bibtex    

Goal-Driven Autonomy in a Navy Strategy Simulation. Molineaux, M.; Klenk, M.; and Aha, D. W. 2010. In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010.
Goal-Driven Autonomy in a Navy Strategy Simulation Goal-Driven Autonomy in a Navy Strategy Simulation Bibtex    

Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects. Molineaux, M.; Klenk, M.; and Aha, D. W. 2010. In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010.
Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects Bibtex    

  2009 (1)

Persistent mappings in cross-domain analogical learning of physics domains. Klenk, M., and Forbus, K. 2009. Sofia, Bulgaria.
Persistent mappings in cross-domain analogical learning of physics domains Bibtex    

  2008 (2)

MoralDM: a computational modal of moral decision-making. Dehghani, M.; Tomai, E.; Forbus, K.; Iliev, R.; and Klenk, M. 2008.
MoralDM: a computational modal of moral decision-making Bibtex    

An integrated reasoning approach to moral decision-making. Dehghani, M.; Tomai, E.; Forbus, K.; and Klenk, M. 2008. 1280--1286.
An integrated reasoning approach to moral decision-making Bibtex    

  2007 (2)

Cognitive modeling of analogy events in physics problem solving from examples. Klenk, M., and Forbus, K. 2007.
Bibtex

Measuring the level of transfer learning by an AP Physics problem-solver. Klenk, M., and Forbus, K. 2007. 22(1):446.
Bibtex

  2006 (1)

Cognitive processes in quantitative estimation: analogical anchors and causal adjustment. Paritosh; K, P.; Klenk; and E, M. 2006.
Cognitive processes in quantitative estimation: analogical anchors and causal adjustment Bibtex    

  2005 (1)

Solving Everyday Physical Reasoning Problems by Analogy Using Sketches. Klenk, M.; Forbus, K. D.; Tomai, E.; Kim, H.; and Kyckelhahn, B. 2005. In Proceedings, The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, 209-215.
Solving Everyday Physical Reasoning Problems by Analogy Using Sketches Solving Everyday Physical Reasoning Problems by Analogy Using Sketches Bibtex    

  Journal (7)

  2013 (2)

GOAL-DRIVEN AUTONOMY FOR RESPONDING TO UNEXPECTED EVENTS IN STRATEGY SIMULATIONS. Klenk, M.; Molineaux, M.; Aha; and W, D. 2013. Computational Intelligence, 29(2):.
GOAL-DRIVEN AUTONOMY FOR RESPONDING TO UNEXPECTED EVENTS IN STRATEGY SIMULATIONS Bibtex    

Exploiting persistent mappings in cross-domain analogical learning of physical domains. Klenk, M., and Forbus, K. D. 2013. Artificial Intelligence, 195:398-417.
Exploiting persistent mappings in cross-domain analogical learning of physical domains Bibtex    

  2011 (2)

Using analogical model formulation with sketches to solve Bennett Mechanical Comprehension Test problems. Klenk, M.; Forbus, K. D.; Tomai, E.; and Kim, H. 2011. Journal of Experimental and Theoretical Artificial Intelligence, 23(3):299-327.
Using analogical model formulation with sketches to solve Bennett Mechanical Comprehension Test problems Using analogical model formulation with sketches to solve Bennett Mechanical Comprehension Test problems Bibtex    

Goal-driven autonomy. Aha, D.; Molineaux„ M.; and Klenk, M. 2011. NRL Review154-155.
Bibtex

  2009 (3)

Domain transfer via cross-domain analogy. Klenk, M., and Forbus, K. 2009. Cognitive Systems Research, 10(3):240--250.
Domain transfer via cross-domain analogy Bibtex    

Analogical model formulation for transfer learning in AP Physics. Klenk, M., and Forbus, K. 2009. Artificial Intelligence, 173(18):1615--1638.
Analogical model formulation for transfer learning in AP Physics Bibtex    

Companion cognitive systems: Design goals and lessons learned so far. Forbus; D, K.; Klenk, M.; and Hinrichs, T. 2009. Intelligent Systems, IEEE, 24(4):36--46.
Bibtex

  Workshop (19)

  2013 (1)

Dynamic Symbol Grounding: Changing Referents in Engineering Analysis and Spatial Environments. Klenk, M., and Bobrow, D. 2013. In Procceedings of the AAAI-13 Workshop on Space, Time, and Ambient Intelligence, Bellevue, WA.
Dynamic Symbol Grounding: Changing Referents in Engineering Analysis and Spatial Environments Bibtex    

  2012 (3)

Challenges for qualitative reasoning for engineering design. Bobrow; G, D.; Klenk, M.; de Kleer, J.; Janssen, B.; and Hanley, J. 2012. In Proceedings of the 26th Annual Workshop on Qualitative Reasoning (QR12).
Challenges for qualitative reasoning for engineering design Bibtex    

Using Anchor Points to Define and Transfer Spatial Regions Based on Context. Klenk, M.; Hawes, N.; Lockwood, K.; Horn; S, G.; Kelleher; and D, J. 2012. In Proceedings of the 26th Annual Workshop on Qualitative Reasoning (QR12).
Using Anchor Points to Define and Transfer Spatial Regions Based on Context Bibtex    

Placing Qualitative Reasoning in the Design Process. Klenk, M.; Bobrow; G, D.; de Kleer, J.; Hanley, J.; and Janssen, B. 2012. In Proceedings of the 26th Annual Workshop on Qualitative Reasoning (QR12).
Placing Qualitative Reasoning in the Design Process Bibtex    

  2011 (3)

Representing And Reasoning with Functional Knowledge for Spatial Language Understanding. Gupta; M, K.; Schneider; R, A.; Klenk, M.; Gillespie, K.; and Karneeb, J. 2011. In CogSci Workshop on Computational Models for Spatial Language Interpretation and Generation (CoSLI-2). Boston, MA..
Bibtex

Representing and Reasoning About Spatial Regions Defined by Context. Klenk, M.; Hawes, N.; and Lockwood, K. 2011. In AAAI Fall Symposium Series.
Representing and Reasoning About Spatial Regions Defined by Context Bibtex    

What Just Happened? Explaining the Past in Planning and Execution. Molineaux, M.; Kuter, U.; and Klenk, M. 2011. In Explanation-aware Computing, Papers from the 2011 IJCAI Workshop, Barcelona, Spain, July 16-17, 2011, 31-40.
Bibtex

  2010 (1)

Goal-driven autonomy in planning and acting. Klenk, M. 2010. In Proceedings of the AAAI-10 Workshop on Goal-Directed Autonomy (GDA).
Goal-driven autonomy in planning and acting Bibtex    

  2009 (2)

Transfer as a benchmark for multi-representational architectures. Klenk, M. 2009. In Multi-Representational Architectures for Human-Level Intelligence: Papers from the AAI Fall Symposium.
Bibtex

Opponent modeling and spatial similarity to retrieve and reuse superior plays. Laviers, K.; Sukthankar, G.; Klenk, M.; Aha; W, D.; and Molineaux, M. 2009. In Proceedings of the ICCBR Workshop on Case-Based Reasoning for Computer Games.
Opponent modeling and spatial similarity to retrieve and reuse superior plays Bibtex    

  2008 (4)

Companion Cognitive Systems: Design Goals and Some Lessons Learned. Forbus, K. D.; Klenk, M.; and Hinrichs, T. R. 2008. In AAAI Fall Symposium on Naturally-Inspired Artificial Intelligence.
Bibtex

Learning modeling abstractions via generalization. Klenk, M.; Friedman, S.; and Forbus, K. 2008. In Proceedings of the 22nd international workshop on qualitative reasoning.
Learning modeling abstractions via generalization Bibtex    

MoralDM: A Computational Modal of Moral Decision-Making. Dehghani, M.; Tomai, E.; Forbus, K.; Illiev, R.; and Klenk, M. 2008. In Abstract accepted at the 2008 meeting of Society of Judge and Decision Making (SJDM).
Bibtex

Order of Magnitude Reasoning in Modeling Moral Decision-Making. Dehghani, M.; Tomai, E.; Forbus, K.; and Klenk, M. 2008. In Proceedings of the 22nd international workshop on qualitative reasoning.
Order of Magnitude Reasoning in Modeling Moral Decision-Making Bibtex    

  2007 (2)

Corss domain analogies for learning domain theories. Klenk, M., and Forbus, K. 2007. In Analogies: Integrating Multiple Cognitive Abilities, Volume 5, Publications of the Institute for Cognitive Science, University of Osnabruck.
Corss domain analogies for learning domain theories Bibtex    

Learning domain theories via analogical transfer. Klenk, M.; Forbus; and D, K. 2007. In Proceedings of the 21st international workshop on qualitative reasoning.
Bibtex

  2006 (1)

Analogical model formulation for AP Physics Problems. Klenk, M.; Forbus; and D, K. 2006. In Proceedings of the 20th international workshop on qualitative reasoning.
Analogical model formulation for AP Physics Problems Bibtex    

  2005 (1)

Solving everyday physical reasoning problems by analogy using sketches. Klenk, M.; Forbus, K.; Tomai, E.; Kim, H.; and Kyckelhahn, B. 2005. In Proceedings of the 19th international workshop on qualitative reasoning.
Solving everyday physical reasoning problems by analogy using sketches Bibtex    

  2004 (1)

Open-domain sketch understanding: The nuSketch approach. Forbus, K.; Lockwood, K.; Klenk, M.; Tomai, E.; and Usher, J. 2004. 58--63.
Open-domain sketch understanding: The nuSketch approach Bibtex    

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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/