人工智能详解课件.ppt
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1、Modern Artificial Intelligence and Its Importance in the Future World,Zengchang Qin (Ph.D.)Intelligent Computing and Machine Learning LabSchool of Automation and Electrical EngineeringBeihang UniversityShahe Campus Oct 27 2010,This is Science,Give a big picture of modern Artificial Intelligence and
2、understand why it is important in the current and the future world.We have such a direction of research in the school of ASEE. To clarify the misunderstanding of A.I. from those robot movies and science fictions.,About This Talk,I have been working in A.I. are for the past decade. I enjoy movies and
3、 unbounded thinking.I am always intrigued by any kinds f excellent ideas from human intelligence. Feel free to ask any questions you have in mind, no guarantee to be answered.,About The Speaker,Misunderstanding,Artificial Intelligence (A.I.) RoboticsJohn McCarthy (Stanford),Artificial Intelligence W
4、e fear?,I, Robot,The Three Laws of Robotics by Issac Asimov are as the follows:A robot may not injure a human being or, through inaction, allow a human being to come to harm. A robot must obey any orders given to it by human beings, except where such orders would conflict with the First Law. A robot
5、 must protect its own existence as long as such protection does not conflict with the First or Second Law.,My Philosophy of Modern A.I.,Artificial Intelligence is a mathematical/computing technology that will make life better. I have been interested in making machines intelligent by designing algori
6、thms. I may not believe that one day we can recreate human brains using silicon chips, but I believe that computing will aid our brains to do missions impossible in the future.,Chinese Room Paradox,Modern A.I. The Engineering Approach: Machine Learning and Data Mining,Pattern Recognition, Computer v
7、ision and Image ProcessingDistributed A.I. /multi-agent systemsBiometrics and computer forensicsNatural Language ProcessingIntelligent Search and Information RetrievalComputational Cognitive ScienceComputational Neuroscience and bioinformaticsComputational Cognitive ScienceComputational/Behavior Fin
8、anceBehavior Targeting and Personal ServicesDigital Advertisements/recommendation systems,Philosophy of Machine Learning,Machine Learning search in the hypothesis space to find the ones that match the data. Using Occams razor, we choose the simplest one.William of Ockham (or Occam) was a 14th-centur
9、y English logician and Franciscan friar whos name is given to the principle that when trying to choose between multiple competing theories the simplest theory is probably the best. This principle is known as Ockhams razor.,Example,Example 2,Why Machine Learning is important?,To fine the theory that
10、explains the data, we usually prefer the simple ones. Machine learning and scientific discovery share similarities. Karl Popper,Logic Programming,London Underground Example,Fuzzy Logic,Membership function (continuous),Membership Functions,Some Intuition,Professor of Fuzzy Logic,Multi-agent System,Di
11、stributed A.I. - coordination,Data miningis the process of extracting patterns from data - Torture the data until they confess.Data is everywhere and in different types.,Pattern Recognition and Data Mining,Welcome to FairmontNET.stdtext font-family: Verdana, Arial, Helvetica, sans-serif; font-size:
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