Advances in Artificial Intelligence

1. Front Matter

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2. Dynamic Obstacle Representations for Robot and Virtual Agent Navigation

   • Eric Aaron, Juan Pablo Mendoza

   Pages 1-12

3. Grounding Formulas with Complex Terms

   • Amir Aavani, Xiongnan (Newman) Wu, Eugenia Ternovska, David Mitchell

   Pages 13-25

4. Moving Object Modelling Approach for Lowering Uncertainty in Location Tracking Systems

   • Wegdan Abdelsalam, David Chiu, Siu-Cheung Chau, Yasser Ebrahim, Maher Ahmed

   Pages 26-31

5. Unsupervised Relation Extraction Using Dependency Trees for Automatic Generation of Multiple-Choice Questions

   • Naveed Afzal, Ruslan Mitkov, Atefeh Farzindar

   Pages 32-43

6. An Improved Satisfiable SAT Generator Based on Random Subgraph Isomorphism

   • Cǎlin Anton

   Pages 44-49

7. Utility Estimation in Large Preference Graphs Using A* Search

   • Henry Bediako-Asare, Scott Buffett, Michael W. Fleming

   Pages 50-55

8. A Learning Method for Developing PROAFTN Classifiers and a Comparative Study with Decision Trees

   • Nabil Belacel, Feras Al-Obeidat

   Pages 56-61

9. Using a Heterogeneous Dataset for Emotion Analysis in Text

   • Soumaya Chaffar, Diana Inkpen

   Pages 62-67

10. Using Semantic Information to Answer Complex Questions

    • Yllias Chali, Sadid A. Hasan, Kaisar Imam

    Pages 68-73

11. Automatic Semantic Web Annotation of Named Entities

    • Eric Charton, Michel Gagnon, Benoit Ozell

    Pages 74-85

12. Learning Dialogue POMDP Models from Data

    • Hamid R. Chinaei, Brahim Chaib-draa

    Pages 86-91

13. Characterizing a Brain-Based Value-Function Approximator

    • Patrick Connor, Thomas Trappenberg

    Pages 92-103

14. Answer Set Programming for Stream Reasoning

    • Thang M. Do, Seng W. Loke, Fei Liu

    Pages 104-109

15. A Markov Decision Process Model for Strategic Decision Making in Sailboat Racing

    • Daniel S. Ferguson, Pantelis Elinas

    Pages 110-121

16. Exploiting Conversational Features to Detect High-Quality Blog Comments

    • Nicholas FitzGerald, Giuseppe Carenini, Gabriel Murray, Shafiq Joty

    Pages 122-127

17. Consolidation Using Context-Sensitive Multiple Task Learning

    • Ben Fowler, Daniel L. Silver

    Pages 128-139

18. Extracting Relations between Diseases, Treatments, and Tests from Clinical Data

    • Oana Frunza, Diana Inkpen

    Pages 140-145

19. Compact Features for Sentiment Analysis

    • Lisa Gaudette, Nathalie Japkowicz

    Pages 146-157

20. Instance Selection in Semi-supervised Learning

    • Yuanyuan Guo, Harry Zhang, Xiaobo Liu

    Pages 158-169

This book constitutes the refereed proceedings of the 24th Conference on Artificial Intelligence, Canadian AI 2011, held in St. John’s, Canada, in May 2011. The 23 revised full papers presented together with 22 revised short papers and 5 papers from the graduate student symposium were carefully reviewed and selected from 81 submissions. The papers cover a broad range of topics presenting original work in all areas of artificial intelligence, either theoretical or applied.

• data mining
• genetic algorithms
• multi-agent systems
• natural language processing
• parallel algorithms

• Department of Computer Science, University of Regina, Saskatchewan, Canada

  Cory Butz

• Department of Mathematics and Computing Science, Saint Mary’s University, Halifax, Nova Scotia, Canada

  Pawan Lingras

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