Tolga Könik's Research

 

Selected Publications

Könik, T., and Laird, J. 2006. Learning Goal Hierarchies from  Structured Observations and Expert Annotations, Machine Learning. 64(1-3) 263-287. 

 

Choi, D., Könik, T.,  Nejati, N, Park, C., & Langley, P., Structural Transfer of Cognitive Skills, In Proceedings of ICCM – 2007 – Eight International Conference on Cognitive Modeling. 115 – 120. Oxford, UK: Taylor & Fransis/Psychology Press.

 

Könik, T., Pearson, D., Laird, J. 2005. Learning through Interactive Behavior Specifications [PDF]. In Aha, G. D. W., Tecuci, G. (eds.) Mixed Initiative Problem-Solving Assistants: Papers from the 2005 Fall Symposium (Tech. Report FS-05-07). Menlo Park, CA: AAAI Press.

Könik, T. and Say, C. 2003. Duration Consistency Filtering for Qualitative Simulation. Annals of Mathematics and Artificial Intelligence. 38(4) 269-309.

             

Papers and Presentations

 

Machine Learning

 

[ICCM 2007]

Choi, D., Könik, T.,  Nejati, N, Park, C., & Langley, P., Structural Transfer of Cognitive Skills, In Proceedings of ICCM – 2007 – Eight International Conference on Cognitive Modeling. 115 – 120. Oxford, UK: Taylor & Fransis/Psychology Press.

 

[AIIDE 2007]

Choi, D., Könik, T., Nejati, N., Park, C., Langley, P., A Believable Agent for First-Person Shooter Games, Proceedings of the Third Artificial Intelligence and Interactive Digital Entertainment International Conference (AIIDE 2007). AAAI Press: Menlo Park, California, 71-73.

 

[AAAI 2007]

Könik, T. and Nejati, N., Learning Plan Knowledge in Tasks with Information Gathering, Acquiring Planning Knowledge via Demonstration, Papers from the 2007 AAAI Workshop (Tech. Report WS-07-02). AAAI Press: Menlo Park, California, 26-31.

 

[Dissertation 2007]

Könik, T. 2007. Relational Learning by Observation,  Ph.D. Thesis, Electrical Engineering and Computer Science, University of Michigan.

 

[ML 2006]

Könik, T., and Laird, J. 2006. Learning Goal Hierarchies from  Structured Observations and Expert Annotations, Machine Learning. 64(1-3) 263-287. 

 

[ICML 2006]

Nejati, N., Langley, P., & Könik, T. Learning hierarchical task networks by observation Proceedings of the Twenty-Third International Conference on Machine Learning. Pittsburgh, PA.

 

[MI 2005]

Könik, T., Pearson, D., Laird, J. 2005. Learning through Interactive Behavior Specifications [PDF]. In Aha, G. D. W., Tecuci, G. (eds.) Mixed Initiative Problem-Solving Assistants: Papers from the 2005 Fall Symposium (Tech. Report FS-05-07). Menlo Park, CA: AAAI Press.

 

[Soar 2005]

Könik, T. 2004. Inductive Learning from Abstract Behavior Descriptions [PPT]. In 25th North American Soar Workshop.

 

[ILP 2004]

Könik, T., and Laird, J. 2004. Learning Goal Hierarchies from Structured Observations and Expert Annotations. In 14th International Conference on Inductive Logic Programming (ILP-2004), Lecture Notes in AI 3194. Springer

 

[Soar 2004a]

Könik, T. 2004.  A Query Mechanism for Inspecting Behavior History [PPT]. In 24th North American Soar Workshop.

 

[Soar 2004b]

Könik, T. 2004. Learning from Only Positive Examples in Learning By Observation [PPT]. In 24th North American Soar Workshop.

 

[Soar 2003]

Könik, T. 2003.  Efficient Rule Testing in Learning By Observation [PPT]. In 23rd North American Soar Workshop.

 

[ILP 2002]

Könik, T., and Laird, J. 2002. Hierarchical Procedural Knowledge Learning Through Observation Using Inductive Logic Programming, an Extended Abstract. In 12th International Conference on Inductive Logic Programming, Work in Progress Session (ILP-2002).

 

[Soar 2002]

Könik, T. 2002.  Learning by Observation using Inductive Logic Programming: Recent Progress [PPT]:  In 22nd North American Soar Workshop.

 

[Soar 2001]

Könik, T. 2001. Learning by Observation using Inductive Logic Programming [PPT]. In 21st North American Soar Workshop.

 

[TAINN 1998a]

Könik, T. 1998. Extending Explanation Based Learning Using Mathematical Induction. In Proceedings of the Seventh Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'98).

 

Qualitative Reasoning

[AMAI 2003]

Könik, T. and Say, C. 2003. Duration Consistency Filtering for Qualitative Simulation. Annals of Mathematics and Artificial Intelligence. 38(4)269-309. This paper overrides the first part of my M.S. Thesis. Some proofs are improved and some additional experiments are included.

 

[QR 2002]

Könik, T., and Say, A. C. C. 2002. Extracting Duration Facts in Qualitative Simulation Using Comparison Calculus [PDF]. In Sixteenth International Workshop on Qualitative Reasoning (QR2002).  

 

[Ms2000]

Könik, T. 2000.  Exploiting Relative Durations in Qualitative Simulation. M.S. Thesis. Systems and Control Engineering, Boğaziçi University.  

 

[QR 1998]

Könik, T., and Say, A. C. C. 1998. Extracting and Using Relative Duration Information in Pure Qualitative Simulation [PDF]. In Qualitative Reasoning: The Twelfth International Workshop (QR'98), AAAI Technical Report WS-98-01. Menlo Park, California: AAAI Press.

 

[TAINN 1998b]

Say, A. C. C., and Könik, T. 1998. Making Use of Symmetries in Spurious Prediction Elimination in Qualitative Simulation. In Proceedings of the Seventh Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'98).