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Publications of Author

1. Pamela W. Jordan, Maxim Makatchev, Umarani Pappuswamy, Kurt VanLehn, Patricia L. Albacete
   A Natural Language Tutorial Dialogue System for Physics. [Citation Graph (0, 0)][DBLP]
   FLAIRS Conference, 2006, pp:521-526 [Conf]
   
2. Maxim Makatchev, Kurt VanLehn, Pamela W. Jordan, Umarani Pappuswamy
   Representation and Reasoning for Deeper Natural Language Understanding in a Physics Tutoring System. [Citation Graph (0, 0)][DBLP]
   FLAIRS Conference, 2006, pp:682-687 [Conf]
   
3. Pamela W. Jordan, Maxim Makatchev, Kurt VanLehn
   Combining Competing Language Understanding Approaches in an Intelligent Tutoring System. [Citation Graph (0, 0)][DBLP]
   Intelligent Tutoring Systems, 2004, pp:346-357 [Conf]
   
4. Maxim Makatchev, Pamela W. Jordan, Kurt VanLehn
   Modeling Students' Reasoning About Qualitative Physics: Heuristics for Abductive Proof Search. [Citation Graph (0, 0)][DBLP]
   Intelligent Tutoring Systems, 2004, pp:699-709 [Conf]
   
5. Kurt VanLehn, Pamela W. Jordan, Carolyn Penstein Rosé, Dumisizwe Bhembe, Michael Böttner, Andy Gaydos, Maxim Makatchev, Umarani Pappuswamy, Michael A. Ringenberg, Antonio Roque, Stephanie Siler, Ramesh Srivastava
   The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing. [Citation Graph (0, 0)][DBLP]
   Intelligent Tutoring Systems, 2002, pp:158-167 [Conf]
   
6. Maxim Makatchev, Pamela W. Jordan, Umarani Pappuswamy, Kurt VanLehn
   Abductive Proofs as Models of Students' Reasoning about Qualitative Physics. [Citation Graph (0, 0)][DBLP]
   ICCM, 2004, pp:166-171 [Conf]
   
7. Maxim Makatchev
   On the Cell-based Complexity of Recognition of Bounded Configurations by Finite Dynamic Cellular Automata [Citation Graph (0, 0)][DBLP]
   CoRR, 2002, v:0, n:, pp:- [Journal]
   
8. Maxim Makatchev, Pamela W. Jordan, Kurt VanLehn
   Abductive Theorem Proving for Analyzing Student Explanations to Guide Feedback in Intelligent Tutoring Systems. [Citation Graph (0, 0)][DBLP]
   J. Autom. Reasoning, 2004, v:32, n:3, pp:187-226 [Journal]
   
9. 
   Combining Bayesian Networks and Formal Reasoning for Semantic Classification of Student Utterances. [Citation Graph (, )][DBLP]
   
   
10. 
    Analyzing Completeness and Correctness of Utterances Using an ATMS. [Citation Graph (, )][DBLP]
    
    
11. 
    How do people talk with a robot?: an analysis of human-robot dialogues in the real world. [Citation Graph (, )][DBLP]
    
    
12. 
    Relating initial turns of human-robot dialogues to discourse. [Citation Graph (, )][DBLP]
    
    
13. 
    Dialogue patterns of an arabic robot receptionist. [Citation Graph (, )][DBLP]