中南大学《人工智能》课程教案
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第一章   绪 论     http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter1.htm     第二章   知识表示方法  http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter2.htm 第三章   搜索推理技术 http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter3.htm 第四章   计算智能(1)   http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter4.htm 第五章   计算智能(2)  http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter5.htm 第六章   专家系统 http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter6.htm 第七章   机器学习 http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter7.htm 第八章   自动规划 http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter8.htm 第九章   Agent (艾真体)  http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter9.htm 第十章   机器视觉 http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter10.htm 第十一章  自然语言理解     http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter11.htm 第十二章  智能控制  http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter12.htm 第十三章  人工智能的争论与展望 http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/jiaoan/chapter13.htm 
2006年08月25日 04点08分 1
level 9
全部资料http://cai.csu.edu.cn/jpkc/rengongzhineng/Index.htm
2006年08月25日 04点08分 2
level 9
教学幻灯联接http://cai.csu.edu.cn/jpkc/rengongzhineng/rengongzhineng/KECHENGTIGANG/1.files/frame.htm
2006年08月25日 04点08分 3
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22. Cai Zixing. Some Research Works on Expert System in AI Course at Purdue. Proc. IEEE Int. Conf. on Robotics and Automation, Vol.3, San Francisco: IEEE Computer Society Press, 1986. 1980-198523. Cios K, Pedrycz W, and Swiniarski R. Data Mining Methods for Knowledge Discovery. Boston: Kluwer Academic Publishers, 199824. DeJone K A. Genetic Algorithms: A 25 Year Perspective, In: Computational Intelligence Imitating Life. Eds. J M Zurada et al, New York: IEEE Press, 199425. Dumitrescu D., Lazzerini B., Jain L. C., Dumitrescu A. Evolutionary Computation. CRC Press, 200026. Durkin J. Expert Systems: Design and Development. New York: Macmillan Publishing Company, 199427. Fayyad U M, Piatetsky-Shapiro G, and Smyth P, et al. editors. Advances in Knowledge Discovery and Data Mining. Cambridge, MA: AAAI/MIT Press, 199628. Fogel D B, Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, Second Edition. IEEE Press, 200029. Fogel L J. Intelligence Through Simulated Evolution: Forty Years of Evolutionary Programming. A Wiley-Interscience Publication, 199930. Fu K S. Learning Control Systems and Intelligent Control Systems: A Intersection of Artificial Intelligence and Automatic Control. IEEE Trans, 1971, AC-16(1): 70-7231. Gen M, Cheng R. Genetic Algorithms and Engineering Optimization. A Wiley-Interscience Publication, 200032. Genesereth M R, Nilsson N J. Logic Foundation of Artificial Intelligence. Los Altos, CA, USA: Morgan Kaufman, 198733. Gevarter W B. Artificial Intelligence Applications: Expert Systems. Computer Vision and Natural Language Processing, NOYES Publications, 198434. Goldberg D E. Genetic Algorithms in Search, Optimization, and Machine Learning. Readings, MA: Addison-Wesley, 198935. Goldberg D. Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley, 198936. Grossberg S. Neural Networks and Neural Intelligence. Cambridge, Mass: MIT Press, 198837. Hajek P, et al. Uncertain Infromation Processing Expert Systems. Boca Raton, Florida: CRC Press, 199238. Han J and Kamber M. Data Mining: Concepts and Techniques. Los Altos, CA, USA: Morgan Kaufmann Publishers, 200139. Hayes Roth F, Waterman D, Lenat D eds. Building Expert Systems. New York: Addison Wesley, 198340. Hearst M A and Hirsh H. AI’s greatest trends and controversies. IEEE Intelligent System and Their Applications, January/February, 2000: 8-1741. Hertz J, Krogh A, and Palmer R G. Introduction to the Theory of Neural Computation. Reading, MA: Addison-Wesley, 199142. Holland J H. Adaptation in Neural and Artificial Systems. Ann Arbor, Michigan: The University of Michigan Press, 1975; Cambridge, MA: MIT Press, 199243. Hopfield J J. Artificial Neural Networks. IEEE Circuit and Devices Magazine, 1988, 1244. Kelly R V Jr. Practical Knowledge Engineering. Digital Press, 199145. Khanna T. Foundation of Neural Networks. New York: Addison Wesley. 199046. Kosko B. Neural Networks and Fuzzy Systems. A Dynamical Systems Approach to Machine Intelligence. New York:: Prentice Hall, 199247. Liu J and Cai Z. An incremental time-delay neural network for dynamical recurrent associative memory. High Technology Letters, 2002, 8(1): 72-7548. Liu J and Cai Z. Learning of goal directed spatial knowledge from temporal experience for navigation. Proc. 6th Int. Conference on Intelligent Engineering Systems, 57-62, 200249. Maes P. Designing Autonomous Agents. Cambridge, MA: MIT Press, 199050. Marks R. Intelligence: Computational versus Artificial. IEEE Trans. Neural Networks, 1993, 4(5): 737-73951. Michalewics Z. Genetic Algorithms + Data Structure = Evolution Programs. Berlin: Springer-Verlag, 199452. Minsky M. Society of Mind. New York: Simon & Schuster, 198653. Mitchell T M. Machine Learning. New York: McGraw-Itill, 199754. Morell R et al eds. Minds, Brains, and Computers: Perspectives in Cognitive Science and Artificial Intelligence. Ablex Publishing Corporation, 199255. Murthy S K. Automatic construction of decision trees from data: A multi-disciplinary survey. Data Mining and Knowledge Discovery, 1998, (2): 345-38956. Negoita C V. Expert Systems and Fuzzy Systems.Benjammin/Cummings Publishing CompanyInc,198557. Newell A, Shaw J C, Simon H A. A Variety of Intelligent Learning in General Problem Solver. Self Organizing Systems. New York: Pergamon Press, 196058. Nilsson N J. Artificial Intelligence: A New Synthesis. Morgan Kaufmann, 199859. O’shen T, Eisenstadt M. Artificial Intelligence:Tools, Techniques, and Applications. Harper & Row Publishers, 198460. Rich E. Artificial Intelligence. New York: McGraw Hill Book Company, 1983
2006年08月25日 05点08分 5
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22. Cai Zixing. Some Research Works on Expert System in AI Course at Purdue. Proc. IEEE Int. Conf. on Robotics and Automation, Vol.3, San Francisco: IEEE Computer Society Press, 1986. 1980-198523. Cios K, Pedrycz W, and Swiniarski R. Data Mining Methods for Knowledge Discovery. Boston: Kluwer Academic Publishers, 199824. DeJone K A. Genetic Algorithms: A 25 Year Perspective, In: Computational Intelligence Imitating Life. Eds. J M Zurada et al, New York: IEEE Press, 199425. Dumitrescu D., Lazzerini B., Jain L. C., Dumitrescu A. Evolutionary Computation. CRC Press, 200026. Durkin J. Expert Systems: Design and Development. New York: Macmillan Publishing Company, 199427. Fayyad U M, Piatetsky-Shapiro G, and Smyth P, et al. editors. Advances in Knowledge Discovery and Data Mining. Cambridge, MA: AAAI/MIT Press, 199628. Fogel D B, Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, Second Edition. IEEE Press, 200029. Fogel L J. Intelligence Through Simulated Evolution: Forty Years of Evolutionary Programming. A Wiley-Interscience Publication, 199930. Fu K S. Learning Control Systems and Intelligent Control Systems: A Intersection of Artificial Intelligence and Automatic Control. IEEE Trans, 1971, AC-16(1): 70-7231. Gen M, Cheng R. Genetic Algorithms and Engineering Optimization. A Wiley-Interscience Publication, 200032. Genesereth M R, Nilsson N J. Logic Foundation of Artificial Intelligence. Los Altos, CA, USA: Morgan Kaufman, 198733. Gevarter W B. Artificial Intelligence Applications: Expert Systems. Computer Vision and Natural Language Processing, NOYES Publications, 198434. Goldberg D E. Genetic Algorithms in Search, Optimization, and Machine Learning. Readings, MA: Addison-Wesley, 198935. Goldberg D. Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley, 198936. Grossberg S. Neural Networks and Neural Intelligence. Cambridge, Mass: MIT Press, 198837. Hajek P, et al. Uncertain Infromation Processing Expert Systems. Boca Raton, Florida: CRC Press, 199238. Han J and Kamber M. Data Mining: Concepts and Techniques. Los Altos, CA, USA: Morgan Kaufmann Publishers, 200139. Hayes Roth F, Waterman D, Lenat D eds. Building Expert Systems. New York: Addison Wesley, 198340. Hearst M A and Hirsh H. AI’s greatest trends and controversies. IEEE Intelligent System and Their Applications, January/February, 2000: 8-1741. Hertz J, Krogh A, and Palmer R G. Introduction to the Theory of Neural Computation. Reading, MA: Addison-Wesley, 199142. Holland J H. Adaptation in Neural and Artificial Systems. Ann Arbor, Michigan: The University of Michigan Press, 1975; Cambridge, MA: MIT Press, 199243. Hopfield J J. Artificial Neural Networks. IEEE Circuit and Devices Magazine, 1988, 1244. Kelly R V Jr. Practical Knowledge Engineering. Digital Press, 199145. Khanna T. Foundation of Neural Networks. New York: Addison Wesley. 199046. Kosko B. Neural Networks and Fuzzy Systems. A Dynamical Systems Approach to Machine Intelligence. New York:: Prentice Hall, 1992
2006年08月25日 05点08分 7
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47. Liu J and Cai Z. An incremental time-delay neural network for dynamical recurrent associative memory. High Technology Letters, 2002, 8(1): 72-7548. Liu J and Cai Z. Learning of goal directed spatial knowledge from temporal experience for navigation. Proc. 6th Int. Conference on Intelligent Engineering Systems, 57-62, 200249. Maes P. Designing Autonomous Agents. Cambridge, MA: MIT Press, 199050. Marks R. Intelligence: Computational versus Artificial. IEEE Trans. Neural Networks, 1993, 4(5): 737-73951. Michalewics Z. Genetic Algorithms + Data Structure = Evolution Programs. Berlin: Springer-Verlag, 199452. Minsky M. Society of Mind. New York: Simon & Schuster, 198653. Mitchell T M. Machine Learning. New York: McGraw-Itill, 199754. Morell R et al eds. Minds, Brains, and Computers: Perspectives in Cognitive Science and Artificial Intelligence. Ablex Publishing Corporation, 199255. Murthy S K. Automatic construction of decision trees from data: A multi-disciplinary survey. Data Mining and Knowledge Discovery, 1998, (2): 345-38956. Negoita C V. Expert Systems and Fuzzy Systems.Benjammin/Cummings Publishing CompanyInc,198557. Newell A, Shaw J C, Simon H A. A Variety of Intelligent Learning in General Problem Solver. Self Organizing Systems. New York: Pergamon Press, 196058. Nilsson N J. Artificial Intelligence: A New Synthesis. Morgan Kaufmann, 199859. O’shen T, Eisenstadt M. Artificial Intelligence:Tools, Techniques, and Applications. Harper & Row Publishers, 198460. Rich E. Artificial Intelligence. New York: McGraw Hill Book Company, 198361. Russell S, Norvig P. Artificial Intelligence: A Modern Approach. New Jersey: Prentice-Hall, 199562. Serra R, Zannrini G. Complex Systems and Cognitive Processes. New York: SpringerVerlag, 199063. Shi Zhongzhi. Principles of Machine Learning. Beijing: International Academic Publishers, 199264. Srinivas M, Patnaik L M. Genetic Algorithms: A Survey. IEEE Computer, June 1994, 17-2665. Tanimoto S L. The Elements of AI. IEEE Computer Society Press, 198766. Walker T C, Miller R K. Expert Systems Handbook. An Assessment of Technology Applications. The Fairmont Press Inc, 199067. Wiener N. Cybernetics, or Control and Communication in the Animal and the Machine. Cambridge, MA: MIT Press, 194868. Winston P H. Artificial Intelligence (Second Edition). Addison Wesley Publishing Co,198469. Winston P H. Artificial Intelligence (Third Edition). Addison Wesley, 199270. Wooldridge M J, Jennings N R. Intelligent Agent: theory and practice. Knowledge Engineering Review, 1995, 10(2): 115-15271. Wooldridge M J. Agent-based software engineering. IEEE Trans. on Software Engineering, 1999, 144(1): 26-3772. Xiao X M, Cai Z. Quantification of uncertainty and training of fuzzy logic systems. IEEE Int. Conference on Intelligent Processing Systems, 321-326, 199773. Zadeh L A. A new direction in AI: toward a computational theory of perceptions. AI Magazine, Spring 2001: 73-8474. Zadeh L A. Fuzzy sets. Information and Control. 1965, 8: 338-353
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116. 廉师友. 人工智能技术导论, 第二版. 西安电子科技大学出版社, 2002117. 林祥金,蔡庆生.人工智能,科学技术文献出版社重庆分社,1988118. 林尧瑞, 郭木河. 人类智慧与人工智能. 北京: 清华大学出版社, 2001119. 林尧瑞,马少平.人工智能导论.北京:清华大学出版社,1989120. 林尧瑞,张钹,石纯一.专家系统原理与实践.北京:清华大学出版社,1988121. 刘大有, 杨鲲, 陈建中. Agent研究现状与发展趋势. 软件学报, 2000, 11(3): 315-321122. 刘健勤. 人工生命及其应用. 北京: 冶金工业出版社, 1997123. 刘娟 (导师蔡自兴). 基于时空信息与认知模型的移动机器人导航机制研究. 中南大学博士学位论文, 2003124. 刘勇, 康立山. 非数值并行算法 (第二册)-遗传算法. 北京: 科学出版社, 1995125. 陆汝铃. 人工智能. 北京: 科学出版社, 1989, 2000126. 陆汝钤主编. 世纪之交的知识工程与知识科学. 北京: 清华大学出版社, 2001127. 蒙祖强, 蔡自兴. 基于主控流动的多级multi-agent系统. 计算机工程与应用, 2001, 37(21): 28-30128. 蒙祖强, 蔡自兴. 一种基于超群体的遗传算法. 计算机工程与应用, 2001, 37(13): 13-15129. 潘正君, 康立山, 陈毓屏. 演化计算. 北京: 清华大学出版社, 广西科学技术出版社, 1998130. 钱学森,宋健.工程控制论(修订版).北京:科学出版社,1980131. 乔兵, 朱剑英. 多Agent智能制造系统研究综述. 南京航空航天大学学报, 2001, 33(1): 1-7132. 邵军力, 张景, 魏长华. 人工智能基础. 北京: 电子工业出版社, 2000133. 施鹏飞、姚远.人工智能教程.北京:上海交通大学出版社,1993134. 史忠植. 高级人工智能. 北京: 科学出版社, 1998135. 史忠植. 知识发现. 北京: 清华大学出版社, 2002136. 史忠植. 智能主体及其应用. 北京: 科学出版社, 2000137. 帅典勋, 顾静. 多Agent系统分布式问题求解的代数模型方法(I): 社会行为、社会局势和社会动力学. 计算机学报, 2002, 25(2): 130-137138. 帅典勋, 顾静. 多Agent系统分布式问题求解的代数模型方法(II): 群体智能和社会动力学. 计算机学报, 2002, 25(2): 138-147139. 宋健. 智能控制——超越世纪的目标(Intelligent Control——A Goal Exceeding the Century), 中国工程学报, 1999, 1(1):1-5; IFAC第14届世界大会报告, 1999年7月5日, 北京140. 唐稚松. 时序逻辑程序设计与软件工程. 北京: 科学出版社, 2002141. 涂序彦. “人工生命”的概念、内容和方法. 2001年中国智能自动化学术会议论文集, 2001年8月142. 涂序彦. 人工智能及其应用, 北京: 电子工业出版社, 1988143. 王荣波, 周昌乐. 移动Agent研究综述. 计算机应用研究, 2001, (6): 9-11144. 王永庆. 人工智能原理与方法, 第十一章. 西安交通大学出版社, 1998145. 文敦伟 (导师 蔡自兴). 面向多智能体和神经网络的智能控制研究. 中南大学博士学位论文, 2001146. 文敦伟, 蔡自兴. 递归神经网络的模糊随机学习算法. 高技术通讯, 2002, 12(1): 54-56147. 吴春明 (导师 朱淼良, 何志均). 基于多智能体的分布式智能机器人体系结构研究. 浙江大学博士学位论文, 1995148. 西蒙 (Simon H A) 著, 荆其诚, 张厚粲译. 人类的认知: 思维的信息加工理论. 北京: 科学出版社, 1986149. 徐立本, 姜云飞. 机器学习及其应用. 长春: 吉林大学社会科学丛书编辑部, 1988150. 阎平凡, 张长水. 人工神经网络与模拟进化计算. 北京: 清华大学出版社, 2000151. 杨炳儒主编. 知识工程与知识发现. 北京: 冶金工业出版社, 2000152. 杨祥全,蔡庆生.人工智能.重庆:科技文献出版社重庆分社,1988153. 尹朝庆, 尹皓. 人工智能与专家系统. 北京: 中国水利水电出版社, 2002154. 张钹, 张铃. 问题求解理论及应用.北京: 清华大学出版社, 1990155. 张文修, 梁怡. 遗传算法的数学基础. 西安交通大学出版社, 2000156. 赵瑞清. 专家系统原理. 北京: 气象出版社, 1987157. 郑金华, 蔡自兴. 狭义遗传算法. 计算机工程与应用, 1999, 35(12):158. 郑金华, 蔡自兴. 自动区域划分的分区搜索狭义遗传算法. 计算机研究与发展, 2000, 37(4): 397-400159. 钟晓, 马少午, 张钹等. 数据挖掘概述. 模式识别与人工智能, 2001, 14(1): 48-55160. 周翔, 蔡自兴. 基于多分辨遗传的多层感知神经网络及其在短期电力负荷预估中的应用. 计算机工程与应用, 1999, 35(3) :10-12161. 朱福喜, 汤怡群, 傅建明. 人工智能基础. 武汉大学出版社, 2002162. 邹小兵, 蔡自兴. 基于传感器信息的环境非光滑建模与路径规划. 自然科学进展, 2002, 12(11): 1188-1192
2006年08月25日 05点08分 10
level 0
好东西!非常感谢
2010年05月01日 08点05分 11
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