A framework for commonsense knowledge retrieval: Preliminary report

7th International Symposium on Logical Formalizations of Commonsense Reasoning, Commonsense 2005

Volumn , Issue , 2005, Pages

  Oertel, Phil ^a   Amir, Eyal ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS DECISION; COMMONSENSE KNOWLEDGE; COMMONSENSE KNOWLEDGE BASIS; CONCEPTNET; MAPPING LANGUAGE; RETRIEVAL FRAMEWORKS;

AUTONOMOUS AGENTS; FORMAL LANGUAGES;

ALGORITHMS;

EID: 84888349438     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. Eyal Amir and Patrick Doyle. Adventure games: A challenge for cognitive robotics (full version). AAAI' 02 workshop on Cognitive Robotics. Also, available at the author's website (http://www.cs.uiuc.edu/eyal/papers), 2002.
2. David Andre and Stuart J. Russ ell. Programmable reinforcement learning agents. In Proceedings of the 13th Conference on Neural Information Processing Systems (NIPS'00), pages 1019-1025. MIT Press, 2000.
3. Fahiem Bacchus and Froduald Kabanza. Using temporal logics to express search control knowledge for planning. Artificial Intelligence, 116(1-2):123-191, 2000.
4. Piergiorgio Bertoli andMarco Pistore. Planning with extended goals and partial observability. In Proceedings of the 14th Int' l Conf. on Automated Planning and Scheduling (ICAPS'04), 2004.
5. Paul Cohen, Robert Schrag, Eric Jones, Adam Pease, Albert Lin, Barbara Starr, David Gunning, and Murray Burke. The darpa high-performance knowledge bases project. AI Magazine, 19(4):25-49, 1998.
6. AnHai Doan, Pedro Domingo, and Alon Halevi. Learning to match the schemas of databases: A multistrategy approach. Machine Learning, 50:279-301, 2003.
7. AnHai Doan. Learning to map between structured representations of data. PhD thesis, University of Washington, Seatle, 2002.
8. Patrick Doherty and Jonas Kvarnströ m. Talplanner: A temporal logic based planner. AI Magazine, 2001. Accepted for publication.
9. Eyal Even-Dar, Sham M. Kakade, and Yishay Mans our. Reinforcement learning in POMDPs. In Proceedings of the 17th Conference on Neural Information Processing Systems (NIPS'04), 2004.
10. Richard Fikes and Adam Farquhar. Large-scale repositories of h ighly expressive reusable knowledge. IEEE Intelligent Systems, 14(2), 1999.
11. Matthew L. Ginsberg. The computational value of nonmonotonic reasoning. In James Allen, Richard Fikes, and Erik Sa ndewall, editors, Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning, pages 262-268, San Mateo, CA, USA, April 1991. Morgan Kaufmann Publishers.
12. Bri an Hlubocky and Eyal Amir. Knowledge-gathering agents in adventure games. In AAAI-04 Workshop on Challenges in Game AI. AAAI Press, 2004.
13. J.örg Hoffmann and Bernhard Nebel. The FF planning system: Fast plan generation through heuristic search. Journal of Artificial Intelligence Research, 14:253-302, 2001.
14. B.A. Huberman and T. Hogg. Phase transitions in artificial intelligence systems. Artificial Intelligences, 1987.
15. Leslie Pack Kaelbling, Michael L. Littman, and Andrew W. Moore. Reinforcement learning: A survey. Journal of Artificial Intelligence Research, 4:237-285, 1996.
16. Douglas B. Lenat. Cyc: A large-scale investment in knowledge infrastructure. Communications of the ACM, 38(11):33-38, 1995.
17. H.J. Levesque, R. Reiter, Y. Lesprance, F. Lin, and R. Scherl. GOLOG: A logic programming language for dynamic domains. Journal of Logic Programming, 31:59-84, 1997.
18. John McCarthy and Patri ck J. Hayes. Some Philosophical Problems from the Standpoint of Artificial Intelligence. In B. Meltzer and D. Michie, editors, Machine Intelligence 4, pages 463-502. Edinburgh University Press, 1969.
19. George A.Miller. Wordnet: A lexical database for english. Communications of the ACM, 38(11):39-41, 1995.
20. Tom Mitchell. Machine Learning. McGraw-Hill, 1997.
21. Andrew Y. Ng and Stuart Russell. Algorithms for inverse reinforcement learning. In Proc. 17th International Conf. on Machine Learning, pages 663-670. Morgan Kaufmann, 2000.
22. Andrew Y. Ng, Daishi Harada , and Stuart Russell. Policy invariance under reward transformations: Theory and application to reward shaping. In Proc. 16th International Conf. on Machine Learning, pages 278-287. Morgan Kaufmann, 1999.
23. Ian Niles and Adam Pease. Towards a standard upper ontology. In International conference on Formal Ontology in Information Systems, pages 2-9. ACM Press, 2001.
24. Natalya F. Noy, Michael Sintek, Stefan Decker, Monica Crubzy, Ray W. Fergerson, and Mark A. Musen. Creating semantic web contents with protege-2000. IEEE Intelligent Systems special issue on Semantic Web Teconology, 16(2):60-71, 2001.
25. Peter Pirolli, James Pitkow, and Ramana Rao. Silk from a sow' s ear: Extracting usable structures fromthe web. In Proc. ACMConf. Human Factors in Computing Systems, CHI. ACM Press, 1996.
26. Raymod Reiter. Knowledge In Action: Logical Foundations for Describing and Implementing Dynamical Systems. MIT Press, 2001.
27. Gerard Salton and Chris Buckley. On the use of spreading activation methods in automatic information retrieval. In SIGIR ' 88: Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval, pages 147-160. ACM Press, 1988.
28. Push Singh, Thomas Lin, Erik T. Mueller, Grace Lim, Travell Perkins, and Wan Li Zhu. Open mind common sense: Knowledge acquisition from the general public. In Proceedings of the First International Conference on Ontologies, Dat abases, and Applications of Semantics for Large Scale Information Systems, LNCS. Springer-Verlag, 2002.