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Journal Information-measuring and Control Systems №8 for 2014 г.
Article in number:
Models, methods and tools for intelligent program environment for integrated expert systems construction
Authors:
G.V. Rybina - Dr. Sc. (Eng.), Professor, National Research Nuclear University MEPhI (Moscow). Е-mail: galina@ailab.mephi.ru
Yu.M. Blokhin - Post-graduate Student, National Research Nuclear University MEPhI (Moscow) I.D. Danyakin - Post-graduate Student, National Research Nuclear University MEPhI (Moscow)
Abstract:
Development of the integrated expert systems with the task-oriented methodology and the problems of the intellectualization of AT-TECHNOLOGY workbench are reviewed. Intelligent planning methods applied for integrated expert systems architecture model generating are described with usage of the intelligent planner, reusable components, typical design procedures, and another intelligent program environment components.
Pages: 4-16
References

  1. Ry'bina G.V. Teoriya i texnologiya postroeniya integrirovanny'x e'kspertny'x sistem. Monografiya. M.: Nauchtexlitizdat. 2008.
  2. Ry'bina G.V. Prakticheskoe primenenie zadachno-orientirovannoj metodologii postroeniya integrirovanny'x e'kspertny'x sistem (obzor prilozhenij v staticheskix i dinamicheskix problemny'x oblastyax) // Pribory' i sistemy'. Upravlenie, kontrol', diagnostika. 2011. № 12. S. 10-28.
  3. Ry'bina G.V. Instrumental'ny'j kompleks AT-TEXNOLOGIJa dlya podderzhki postroeniya integrirovanny'x e'kspertny'x sistem: obshhaya xarakteristika i perspektivy' razvitiya // Pribory' i sistemy'. Upravlenie, kontrol', diagnostika. 2011. № 11. C. 17-40.
  4. Ry'bina G.V. Modeli i metody' realizaczii intellektual'noj texnologii postroeniya integrirovanny'x e'kspertny'x sistem // Pribory' i sistemy'. Upravlenie, kontrol', diagnostika. 2011. № 10. S. 27-37.
  5. Ry'bina G.V., Bloxin Ju.M., Ivashhenko M.G. Nekotory'e aspekty' intellektual'noj texnologii postroeniya obuchayushhix integrirovanny'x e'kspertny'x sistem // Pribory' i sistemy'. Upravlenie, kontrol', diagnostika. 2013. №4. C. 27-36
  6. Ry'bina G.V., Ivashhenko M.G., Bloxin Ju.M. Intellektual'naya texnologiya postroeniya integrirovanny'x e'kspertny'x sistem // Iskusstvenny'j intellekt i prinyatie reshenij. 2011. №3. S. 48-75.
  7. Ry'bina G.V., Ivashhenko M.G., Churdalev E.V., Mal'czev I.Ju. Intellektual'ny'e programmny'e sredy': sovremennoe sostoyanie i perspektivy' // Informaczionno-izmeritel'ny'e i upravlyayushhie sistemy'. 2011. № 10. S. 22-30.
  8. Osipov G.S. Metody' iskusstvennogo intellekta. M.: Fizmatlit. 2011. 296 s.
  9. Nau D.S. Current trends in automated planning // AI Magazine. 2007. V. 28. № 4. P. 43-58.
  10. Helmert M.A. Planning heuristic based on causal graph analysis // In ICAPS. 2004. S. 161-170.
  11. Bryce D., Kambhampati S. A Tutorial on Planning Graph-Based Reachability Heuristics // AI Magazine. 28(1). 2007. S. 47-83.
  12. Richter S., Westphal.,Helmert. LAMA 2008 and 2011 // Short paper for the International Planning Competition. 2011.
  13. Benton J., Coles A. Temporal Planning with Preferences and Time-Dependent Continuous Costs // Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling. 2012. S. 2-10.
  14. Penberthy J.S., and Weld D. UCPOP: A Sound, Complete, Partial-Order Planner for ADL. In Proceedings of the Third International Conference on Knowledge Representation and Reasoning (KR-92). SanFrancisco: MorganKaufmannPublishers. 1992.
  15. Nau D.S., Au T., Ilghami O., Kuter U., Murdock J., Wu D., Yaman F. SHOP2: An HTN Planning System // Journal of Artificial Intelligence Research 20. 2003. S. 379-404.
  16. Gerevini A., Saetti A., Serina I. Case-based Planning for Problems with Real-valued Fluents: Kernel Functions for Effective Plan Retrieval // ECAI. 2012. S. 348-353.
  17. McDermott. PDDL. the planning domain definition language. - http://www.informatik.uni-ulm.de/ki/Edu/Vorlesungen/ GdKI/WS0203/pddl.pdf. 1998.
  18. Bryce D., Kambhampati S. A Tutorial on Planning Graph-Based Reachability Heuristics // AI Magazine 28(1). 2007. S. 47-83.
  19. Jakovlev K., Sarafonov V., Xramoin I. Ob odnoj probleme, voznikayushhej pri planirovanii traektorii na ploskosti // Trinadczataya naczional'naya konferencziya po iskustvennomu intellektu s mezhdunarodny'm uchastiem KII-2012 (16-20 oktyabrya 2012 g., g. Belgorod, Rossiya): Trudy' konferenczii. T.3. Belgorod.: Izd-vo BGTU, 2012. 309 s.
  20. Jakovlev K. Ierarxicheskij podxod v zadachax planirovaniya traektorii na ploskosti // Dvenadczataya naczional'naya konferencziya po iskustvennomu intellektu s mezhdunarodny'm uchastiem KII-2010 (20-24 sentyabrya 2010 g., g. Tver', Rossiya): Trudy' konferenczii. T. 3. M.: Fizmatlit. 2010. 444 s.
  21. Zou G., Chen Y., Xu Y., Huang R., Xiang Y. Towards Automated Choreographing of Web Services Using Planning // Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence. 2012. S. 178-184.
  22. Garrido A., Morales L., Serina I. Using AI Planning to Enhance E-Learning Processes // Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling. 2012. S. 47-55.
  23. Parkinson S., Longstaff A., Crampton A., Gregory. The Application of Automated Planning to Machine Tool Calibration // Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling. 2012. S. 216-224.
  24. Do M., Lee L., Zhou R., Crawford L., Uckun S. Online Planning to Control a Packaging Infeed System // Proceedings of the Twenty-Third Innovative Applications of Artificial Intelligence Conference. 2011. S. 1636-1641.
  25. Beaudry E., Kabanza F., Michaud F. Planning with Concurrency under Resources and Time Uncertainty // ECAI 2010. 2010. S. 217-222.
  26. Gofman I., Inishev D., Lipatov A., Smirnov I., Smirnov E. Aktual'ny'e zadachi razvitiya texnologii nedoopredelennogo kalendarnogo planirovaniya Time-EX // Odinnadczataya naczional'naya konferencziya po iskustvennomu intellektu s mezhdunarodny'm uchastiem KII-2008 (28 sentyabrya ? 3 oktyabrya 2008 g., g. Dubna, Rossiya): Trudy' konferenczii. T.1. M.: LENAND. 2008. 432 s.
  27. Coles A. Opportunistic Branched Plans to Maximise Utility in the Presence of Resource Uncertainty // ECAI 2012. 2012. S. 252-257.
  28. Gladkov L., Aleksandrov M. Reshenie zadachi operativnogo planirovaniya proizvodstva na osnove modificzirovannogo geneticheskogo algoritma s ispol'zovaniem nechetkogo logicheskogo kontrollera // Trinadczataya naczional'naya konferencziya po iskustvennomu intellektu s mezhdunarodny'm uchastiem KII-2012 (16-20 oktyabrya 2012 g., g. Belgorod, Rossiya): Trudy' konferenczii. T.2. Belgorod: Izd-vo BGTU. 2012. 339 s.
  29. Kietz J., Serban F., Bernstein A., Fischer S. Designing KDD-Workflows via HTN-Planning // ECAI 2012. 2012. S. 1011-1012.
  30. Kolesov N., Tolmacheva M., Juxta P. Oczenki dlitel'nost' vy'chislenij i slozhnosti ix planirovaniya v raspredelenny'x sistemax // Materialy' 4-j Vserossijskojmul'tikonferenczii. T.1. Taganrok: Izd-vo TTI JuFU. 2011. 370 s.
  31. Gerevini A., Haslum P., Long D., Saetti A., Dimopoulos Y. Deterministic Planning in the Fifth International Planning Competition: PDDL3 and Experimental Evaluation of the Planners // Journal Artificial Intelligence V. 173. Issue 5-6. 2009. S. 619-668.
  32. Novosel'czev V.B., Pinzhin A. Realizacziya e'ffektivnogo algoritma sinteza linejny'x funkczional'ny'x programm // Izvestiya Tomskogo politexnicheskogo universiteta. 2008. T. 312. № 5. S. 32-35.
  33. Pinzhin A., Novosel'czev V.B. E'ffektivny'j algoritm sinteza programm s usloviyami i podprogrammami // Izvestiya Tomskogo politexnicheskogo universiteta. 2008. T. 313. № 5. S. 77-84.
  34. Pinzhin A.E. Algoritm sinteza programm s yavnoj i neyavnoj rekursiej. // Izvestiya Tomskogo politexnicheskogo universiteta. 2008. T. 313. № 5. S. 84-88.
  35. Sacerodi E.D. The nonlinear nature of plans // James Allen James Hendler and Austin Tate, editors. Read-ings in Planning. Morgan Kaufman. 1990. P. 162-170.
  36. Rintanen J. Introduction to Automated Planning (draft). Germany. 2005.
  37. Tierney K., Coles A., Coles A. Automated Planning for Liner Shipping Fleet Repositioning // Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling. 2012. P. 279-287.