پایان نامه طراحی و پیاده سازی رفع کننده ی تناقض در یک سیستم تصمیم همیار هوشمند مبتنی بر تنوع نقطه نظرات

فهرست پایان نامه طراحی و پیاده سازی رفع کننده ی تناقض در یک سیستم تصمیم همیار هوشمند مبتنی بر تنوع نقطه نظرات

فهرست:

فصل اول. مقدمه.. 1

1-1- مقدمه 2

1-2- رفع ناسازگاری.. 3

1-3- سیستم­های تصمیم­همیار و سیستم­های تصمیم­همیار هوشمند.. 4

1-4- هدف از این پایان­نامه. 6

1-5- نگاه کلی به فصول پایان­نامه. 6

فصل دوم. روش­های رفع ناسازگاری... 7

2-1- مقدمه. 8

2-2- برخی استراتژی­های ساده برای رفع ناسازگاری.. 9

2-3- رفع ناسازگاری با استفاده از یک مقدار سودمندی.. 13

2-4- رفع ناسازگاری با استفاده از هزینه­های تخمین زده شده­ی تصادفی.. 15

2-4-1- تخمین امید ریاضی هزینه  17

2-4-2- برآورد بازگشتی   18

2-4-3- رفع ناسازگاری   19

2-5- رفع ناسازگاری با استفاده از برنامه­نویسی خطی.. 21

2-6- رفع ناسازگاری با استفاده از تئوری بازی.. 22

2-7- رفع ناسازگاری با استفاده از مدل گراف... 23

2-8- رفع ناسازگاری با استفاده از روند سلسله مراتبی تحلیلی و بهبود آن.. 25

فصل سوم. سیستم­های تصمیم­همیار هوشمند... 31

3-1- مقدمه. 32

3-2- ویژگی­های سیستم­های تصمیم­همیار هوشمند.. 33

3-3- معرفی چند سیستم تصمیم­همیار هوشمند با ساختارهای متفاوت... 36

3-3-1- استفاده از الگوریتم­های تکاملی در ساختار IDSS  36

3-3-2- استفاده از عامل هوشمند در ساختار IDSS  38

3-3-3- استفاده از روش­های داده­کاوی و شبکه­های عصبی مصنوعی در ساختار IDSS  40

3-3-4- استفاده از یک روش تصمیم­گیری مبتنی بر منطق فازی در ساختار IDSS  46

3-3-5- استفاده از استنتاج مبتنی بر مورد در ساختار IDSS  51

3-3-6- استفاده از مولفه­های مبتنی بر قانون در ساختار IDSS  55

فصل چهارم. بازی­های کامپیوتری استراتژیک بلادرنگ و سیستم­های هوشمند مرتبط با آنها 57

4-1- مقدمه. 58

4-2- ویژگی­های بازی­های استراتژیک بلادرنگ.... 59

4-3- مروری بر سیستم­های هوشمند مرتبط با بازی­های استراتژیک بلادرنگ.... 63

فصل پنجم. سیستم پیشنهادی... 71

5-1- مقدمه. 72

5-2- معرفی سیستم پیشنهادی.. 73

5-3- مولفه­های اصلی سیستم پیشنهادی.. 74

5-4- روش رفع ناسازگاری بکار برده شده در سیستم پیشنهادی.. 77

فصل ششم. ارزیابی و نتایج... 80

فصل هفتم. نتیجه­گیری و کارهای آینده. 89

فهرست منابع............................................................................................................... 92

منبع:

[1]        Giarratano, J. C. (2003). “CLIPS 6.21 User's Guide”, International Thompson Publishing.

[2]        Belavkin, R. V. (2003). “Conflict resolution by random estimated costs”, Proceedings of the 17th European Simulation Multiconference (c) SCS Europe, BVBA.

[3]        Jones, G., Ritter, F. E., Wood, D. J. (2000). “Using a cognitive architecture to examine what develops”, Psychological Science, 11(2), 93–100.

[4]        Belavkin, R. V., Ritter, F. E. (2003). “The use of entropy for analysis and control of cognitive models”, Proceedings of the Fifth International Conference on Cognitive Modelling (pp. 21–26). Bamberg, Germany: Universit¨ats–Verlag Bamberg.

[5]        Belavkin, R. V. (2002). “On emotion, learning and uncertainty: A cognitive modelling approach”, PhD Thesis, The University of Nottingham, United Kingdom.

[6]        Lo C., Wu C. (2005). “The Survey and Expansion on Quantitative Methods to Conflict Resolution”, Proceedings of the Third International Conference on Information Technology and Applications (ICITA’05), 268-271.

[7]        Fang L., Hipel K. W., Kilgour D. M. (1993). Interactive Decision Making: The Graph Model for Conflict Resolution. New York: Wiley.

[8]        Obeidi A., Hipel K.W., Kilgour D.M. (2005). “The Role of Emotions in Envisioning Outcomes in Conflict Analysis”, Journal of Group Decision and Negotiation, Vol. 14, No. 6: 481-500.

[9]        Kilgour D. M., Hipel K. W. (2005). “The Graph Model for Conflict Resolution: Past, present, and future”, Group Decision and Negotiation, Vol. 14, No. 6: 441-460.

[10]      Obeidi A., Hipel K. W., Kilgour D. M. (2005). “Perception and Emotion in the Graph Model for Conflict Resolution”, Intetnational Conference on Systems, Man and Cybermetics, ISIC.

[11]      Saaty T. L. (2001). The Analytic Network Process: Decision Making with Dependence and Feedback. 2nd ed., Pittsburgh: RWS Publications.

[12]      Gupta J., et al. (2006). Intelligent Decision-making Support Systems, Foundations, Applications and Challenges. Springer, 1st Edition, XXIV, 503p.105 illus.

 [13]     Li Y, Hipel K.W. (2007). “The Integration of a Multiple Criteria Preference Ranking

Approach for Conflict Resolution”, Intetnational Conference on Systems, Man and Cybernetics, ISIC.

[14]      Phillips-Wren G., Forgionne G. (2002). “Evaluating web-based and real-time decision support systems”, Proceedings of the DSIAge Conference, 166-175.

[15]      Han J. (1998). “Data Mining: An Overview from Databases Perspective”, Tutorial on the Pacific-Asia Conference in Knowledge Discovery and Data Mining (PKDD-98).

[16]      Forgionne G., Mora M., Cervantes F., Gelman O. (2002). “I-DMSS: A conceptual architecture for the next generation of decision-making support systems in the internet age”, Proceedings of the DSIAge Conference, 154-165.

[17]      Michalewicz Z., et al. (2005). “Case study: An intelligent decision-support system”, IEEE Intelligent Systems: putting AI into practice, 20 (4):44-49.

[18]      Edwards JS., Duan Y., Robins PC. (2000). “An analysis of expert systems for business decision-making at different levels and in different roles”, European Journal of Information Systems, 9:36-46.

[19]      Foster D., et al. (2005). “A Survey of Agent-Based Intelligent Decision Support Systems to Support Clinical Management and Research”, In: 1st Intl. Workshop on Multi-Agent Systems for Medicine, Computational Biology, and Bioinformatics.

[20]       Turban E., Aronson J., Liang T. (2005). Decision Support Systems and Intelligent Systems.7th Edn., New Jersey: Pearson Prentice-Hall.

[21]      Hayes-Roth F., Jacobstein N. (1994). “The state of knowledge-based systems”, Communications of the ACM, 37 (3); 27-39.

[22]      Tecuci G., Kodratoff Y. (1995). Machine Learning and Knowledge Acquisition: Integrated Approaches. London UK: Academic Press.

[23]     Azvine B., Azarmi N., Nauck D. (2000). Intelligent Systems and Soft Computing: Prospects, Tools and Applications. (Eds. Carbonell, J. and Siekmann, J.), Lecture Notes in Artificial Intelligence. Adastral Park, UK: Springer-Verlag.

[24]      Sun R. (2001). “Artificial intelligence: connectionist and symbolic approaches”, In (Eds.Smelser, N.J. and Baltes, P.B.), International Encyclopedia of the Social and Behavioral Sciences, 783-789.

[25]      Viademonte S. (2004). “A Hybrid Model for Intelligent Decision Support: Combining Data Mining And Artificial Neural Networks”, PhD. Thesis, Faculty of Information Technology, Monash University, Australia.

[26]      Agrawal R., Imielinsk T., Swami A. (1993). “Mining association rules between sets of items in large databases”, ACM SIGMOD Conference on Management of Data (SIGMOD'93), New York, NY: ACM Press: 207-216.

[27]      Machado RJ., Rocha AF. (1990). “The combinatorial neural network: a connectionist model for knowledge based systems”, Uncertainty in knowledge bases. Berlin, Germany: Springer Verlag.

[28]      Leao BF., Rocha A. (1990). “Proposed methodology for knowledge acquisition: a study on congenital heart disease diagnosis”, Methods of Information in Medicine, 29: 30-40.

[29]       El-Gayar OF., Leung PS. (2001). “A multiple criteria decision-making framework for regional aquaculture development”, European Journal of Operational Research, 133: 462-482

[30]      Kirby N. (2010). Introduction to Game AI. Course Technology PTR.

[31]       Proctor M., et al. (2008). “Drools Documentation”, JBoss Community.

[32]       Buro M., Furtak T.M. (2004). “RTS games and real-time AI research” Proceedings of the Behavior Representation in Modeling and Simulation Conference (BRIMS), 51–58.

[33]      Herz J.C., Macedonia M.R. (2002). “Computer games and the military: Two views. Defense Horizons”, Center for Technology and National Security Policy, National Defense University.

[34]      Hsieh J.L., Sun Ch. T. (2008). “Building a Player Strategy Model by Analyzing Replays of Real-Time Strategy Games”, International Joint Conference on Neural Networks (IJCNN).

[35]      Aha D., et al. (2005). “Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game”, Case-Based Reasoning Research and Development, 5-20.

[36]     Ponsen M., Spronck P. (2004). “Improving adaptive game AI with evolutionary learning”, MSc. Thesis, 389-396.

[37]      Buchanan B.G. (2005). “A (Very) Brief History of Artificial Intelligence” AI Magazine, Vol. 26: 53-60.

[38]      Samuel A. L. (1995). “Some studies in machine learning using the game of checkers” Computers & thought, MIT Press: 71-105.

[39]      Schaeffer J. (2001). “A Gamut of Games,” AI    Magazine, vol. 22: 29-46.

[40]      Laird J. (2001). “Using a computer game to develop advanced AI”, Computer, 34(7):70–75.

[41]      Laird J., Newell A., Rosenbloom P.S. (1987). “SOAR: An architecture for general intelligence”, Artificial Intelligence Journal, 33(3):1–64.

[42]      Atkin M.S. (1998). “AFS and HAC: Domain-general agent simulation and control”, In AAAI Workshop on Software Tools for Developing Agents.

[43]      Atkin M.S., Cohen P.R. (1998). “Physical planning and dynamics”, In Working notes of the AAAI Fall Symposium on Distributed Continual Planning.

[44]     Wikipedia, the free encyclopedia, “Stratagus”,

[Online]. . [12 Sept 2011].

[45]     Spronck P., Sprinkhuizen-Kuyper I., Postma E. (2004). “Online Adaptation of

Game Opponent AI in Theory and Practice”, Proceedings of the 4th International

Conference on Intelligent Games and Simulation (GAME-ON 2004), 93-100.

[46]     Wikipedia, the free encyclopedia, “Age of Empires III”,

[Online]. . [10 May 2011].

[47]      Hicks R. C. (2007). “The no inference engine theory — Performing conflict resolution during development”, Decision Support Systems, Vol. 43: 435-444.

[48]      Simon H.A. (1997). Administrative behavior: a study of Decision-Making process in Administrative Organizations. New York: Free Press.

[49]      Shim J.P., et al.  (2002). “Past, present and future of decision support technology” Decision Support Systems, Vol. 33:111-126.

[50]      Tozour P. (2002). The Perils of AI Scripting. AI Game Programming Wisdom (ed. S. Rabin), Charles River Media. 541-547. 

[51]      Holsapple CW., Whinston AB. (1996). Decision Support Systems-A Knowledge-Based Approach, West Publishing Company.

[52]      Woodcock, S. (2003). “AI RoundTable Moderator’s Report 2003”,

[online]. .

[53]      Sweetser P. (2002). “Current AI in Games: A review”, Australian Journal of Intelligent Information Processing Systems, Scool of ITEE, University of Queensland.