Incremental knowledge acquisition using generalised RDR for soccer simulation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6232 LNAI, Issue , 2010, Pages 135-149

  Finlayson, Angela ^a   Compton, Paul ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

2D SIMULATIONS; CLASS LEVEL; COMPUTER EXPERTISE; FEATURE LANGUAGE; INCREMENTAL KNOWLEDGE ACQUISITION; MULTIAGENT TEAMS; PLANNING PROBLEM; RIPPLE DOWN RULES; ROBOCUP; SOCCER SIMULATION;

INTELLIGENT AGENTS; KNOWLEDGE ACQUISITION; KNOWLEDGE MANAGEMENT; MERGERS AND ACQUISITIONS;

MATHEMATICAL MODELS;

EID: 78049242025     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15037-1_13     Document Type: Conference Paper

References (42)

1. Noda, I., Matsubara, H., Hiraki, K., Frank, I.: Soccer server: A tool for research on mulitagent systems. Applied Artificial Intelligence 12, 233-250 (1998) (Pubitemid 127619180)
2. Compton, P., Cao, T., Kerr, J.: Generalising Incremental Knowledge Acquisition. In: Proceedings of the Pacific Knowledge Acquisition Workshop (2004)
3. Stone, P.: Layered Learning in Multi-agent Systems. PhD Thesis, Carnegie Mellon University (1998)
4. de Boer, R., Kok, J.: The Incremental Development of a Synthetic Mutli-Agent System: The UvA Trilean 2001 Robotic Soccer Simulation Team. Master's thesis, University of Amsterdam (2002)
5. Finlayson, A., Compton, P.: Incremental Knowledge Acquisition using RDR for Soccer Simulation. In: Proceedings of the Pacific Knowledge Acquisition Workshop (2004)
6. Preston, P., Edwards, E., Compton, P.: A 2000 Rule Expert System Without Knowledge Engineers. In: Proceedings of the 8th AAAI-Sponsored Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, Canada, pp. 17.1-17.10 (1994)
7. Compton, P., Richards, D.: Generalising Ripple-Down Rules. In: Dieng, R., Corby, O. (eds.) EKAW 2000. LNCS (LNAI), vol. 1937, pp. 380-386. Springer, Heidelberg (2000)
8. Suryanto, H., Compton, P.: Invented Knowledge Predicates to Reduce Knowledge Acquisition Effort. In: Tecuci, G., Aha, D., Boicu, M., Cox, M., Ferguson, G. (eds.) Proceedings of the IJCAI 2003 Workshop on Mixed-Initiative Intelligent Systems, Eighteenth International Joint Conference on Artificial Intelligence, Austin tate, Acapulco Mexico, August 9-15, pp. 107-114 (2003)
9. Kang, B., Compton, P., Preston, P.: Multiple Classification Ripple Down Rules: Evaluation and Possibilities. In: Proceedings of the 9th AAAI-Sponsored Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, Canada, pp. 17.1-17.20. University of Calgary (1995)
10. Shiraz, G., Sammut, C.: Acquiring Control Knowledge from Examples Using Ripple-down Rules and Machine Learning. In: Gaines, B. R., Musen, M. (eds.) Proceedings of Eleventh Workshop on Knowledge Acquisition, Modelgin and Management (KAW 1998), Banff, Alberta Canada, April 18-23, pp. KAT-5.1-KAT-5.17. University of Calgary, Calgary (1990)
11. Compton, P., Ramadan, Z., Preston, P., Le-Gia, T., Chellen, V., Mullholland, M.: A trade-off between domain knowledge and problem-solving method power. In: Gaines, B., Musen, M. (eds.) 11th Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, SHARE, Banff, vol. 17, pp. 1-19. SRDG Publications/University of Calgary (1999)
12. Richards, D., Compton, P.: Revisiting Sisyphus I - an Incremental Approach to Resource Allocation Using Ripple-Down Rules. In: Gaines, B., Kremer, R., Musen, M. (eds.) 12th Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, pp. 7-7.1-7.20. SRDG Publications/University of Calgary (1999)
13. Beydoun, G., Hoffman, A.: Incremental Acquisition of Search Knowledge. International Journal of Human Computer Studies 52(3), 493-530 (2000)
14. Compton, P., Horn, R., Quinlan, R., Lazarus, L.: Maintaining an expert system in J. R. Quinlan. In: Applications of Expert Systems, pp. 366-385. Addison Wesley, London (1989)
15. Kang, B., Yoshida, K., Motoda, H., Compton, P.: A help desk system with Intelligent Interface. Applied Artificial Intelligence 11 (7-8), 611-631 (1997) (Pubitemid 127642304)
16. Obst, O., Bodecker, J.: Flexible Coordination of Multiagent Team Behaviour Using HTN Planning. In: Bredenfeld, A., Jacoff, A., Noda, I., Takahashi, Y. (eds.) RoboCup 2005. LNCS (LNAI), vol. 4020, pp. 521-528. Springer, Heidelberg (2006) (Pubitemid 350278811)
17. CMU RoboCup Simulator Team Homepage: Carnegie Mellon University, Pittsburgh, PA (2003), http://www-2.cs.cmu.edu/~pstone/RoboCup/CMUnited-sim.html
18. The Official UvA Trilearn Website: University of Amsterdam (2001), http://www.science.uva.nl/~jellekok/robocup
19. Brainstormers base source code, http://www.ni.uos.de
20. Helios base source code, http://sourceforge.jp/projects/rctools
21. Riedmiller, M., Merke, A.: Using Machine Learning Techniques in Complex Multi-Agent Domains. In: Stamatescu, I., Menzel, W., Richter, M., Ratsch, U. (eds.) Perspectives on Adaptivity and Learning. LNCS. Springer, Heidelberg (2002)
22. Kok, J., Spaan, M., Vlassis, N.: Multi-robot decision making using coordination graphs. In: de Almeida, A. T., Nunes, U. (eds.) Proceedings of the 11th International Conference on Advanced Robotics, ICAR 2003, Coimbra, Portugal, June 30-July 3, pp. 1124-1129 (2003)
23. Yunpeng, C., Jiang, C., Jinyi, Y., Li, S.: Global Planning from Local Eyeshot: An Implementation of Observation-based Plan Coordination in RoboCup Simulation Games. In: Birk, A., Coradeschi, S., Tadokoro, S. (eds.) RoboCup 2001. LNCS (LNAI), vol. 2377, p. 12. Springer, Heidelberg (2002)
24. Buttinger, S., Diedrich, M., Hennig, L., Honemann, A., Hugelmeyer, P., Nie, A., Pegam, A., Rogowski, C., Rollinger, C., Steffens, T., Teiken, W.: The ORCA Project Report, http://www.cl-ki.uni-osnabrueck.de/~tsteffen/orcapub.html
25. Scerri, P., Coradeschi, S., Torne, A.: A user oriented system for developing behaviour based agents. In: Asada, M., Kitano, H. (eds.) RoboCup 1998. LNCS (LNAI), vol. 1604, pp. 173-186. Springer, Heidelberg (1999)
26. Compton, P., Preston, P., Kang, B., Yip, T.: Local patching produces compact knowledge bases. In: Steels, L., Van de Velde, W., Schreiber, G. (eds.) EKAW 1994. LNCS, vol. 867, pp. 103-117. Springer, Heidelberg (1994) (Pubitemid 24826047)
27. Suryanto, H., Richards, D., Compton, P.: The Automatic Compression of Multiple Classification Ripple Down Rule Knowledge Base Systems: Preliminary Experiments. In: Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, L. Jain Adelaide, pp. 203-206 (1999) (Pubitemid 30525163)
28. Edwards, G., Compton, P., Malor, R., Srinivasan, A., Lazarus, L.: PEIRS: a pathologist maintained expert system for the interpretation of chemical pathology reports. Pathology 25, 27-34 (1993) (Pubitemid 23146397)
29. Asakawa, H., Ueda, M., Yamazaki, Y., Takeuchi, I.: YowAI 2007 Team Description. In: RoboCup 2007. LNCS (LNAI), vol. 2377. Springer, Heidelberg (2007)
30. Berger, R., Burkhard, H.: AT Humboldt Team Description 2007. In: Robocup 2007. LNCS (LNAI), vol. 2377. Springer, Heidelberg (2007)
31. Norouzitallab, M.: Nemesis 2D-Team Description 2007. In: Robocup 2007. LNCS (LNAI), vol. 2377. Springer, Heidelberg (2007)
32. Akiyama, H.: HELIOS 2007 Team Description. In: RoboCup 2007. LNCS (LNAI), vol. 2377. Springer, Heidelberg (2007)
33. Riedmiller, M., Gabel, T.: Brainstormers 2D Team Description 2007. In: RoboCup 2007. LNCS (LNAI), vol. 2377. Springer, Heidelberg (2007)
34. Kitano, H., Kuniyoshi, M., Noda, Y., Osawa, E.: RoboCup: The Robot World Cup Initiative. In: The First International Conference on Autonomous Agents (1997)
35. Gspandl, S., Monichi, D., Reip, M., Steinbauer, G., Wolfram, M., Zehentnerm, C.: KickOffTug-Team Description Paper 2007. In: Robocup 2007. LNCS (LNAI), vol. 2377. Springer, Heidelberg (2007)
36. Bekmann, J., Hoffman, A.: Improved Knowledge Acquisition for High Performance Heuristic Search. In: Proceedings of the International Joint Conference on Artificial Intelligence, pp. 41-46 (2005)
37. Kerr, J., Compton, P.: Toward Generic Model-Based Object Recognition by Knowledge Acquisition and Machine Learning. In: Workshop on Mixed-Initiative Intelligent Systems, Int. Joint Conf. on AI (2003)
38. Singh, P., Compton, P.: Combining machine learning and heuristic rules using GRDR for detection of honeycombing in HRCT lung images. In: 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems
39. Kwok, R.: Using Ripple Down Rules for Actions and Planning. In: Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence (2002)
40. Compton, P., Jansen, B.: A philosophical basis for knowledge acquisition. Knowledge Acquisition 2, 241-257 (1990)
41. Robocup 2007 Soccer Simulation Competition (2007), http://wiki.cc.gatech. edu/robocup/index.php/Soccer-Simulation
42. Yoshida, T., Wada, T., Motoda, H., Washio, T.: Adaptive Ripple Down Rules method based on minimum description length principle. Intelligent Data Analysis 8(3) (2004) (Pubitemid 40658091)