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Artificial Intelligence:     more books (100)

Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents) by Dario Floreano, Claudio Mattiussi, 2008-09-30 Affect and Artificial Intelligence (In Vivo) by Elizabeth A. Wilson, 2010-08-01 Artificial Intelligence: Foundations of Computational Agents by Poole David L., Mackworth Alan K., 2010-04-19 Artificial Intelligence for Games (The Morgan Kaufmann Series in Interactive 3D Technology) by Ian Millington, 2006-06-21 The Connection Machine (Artificial Intelligence) by W. Danny Hillis, 1989-02-15 Programming Collective Intelligence: Building Smart Web 2.0 Applications by Toby Segaran, 2007-08-16 On Intelligence by Jeff Hawkins, Sandra Blakeslee, 2005-08-01 Artificial Intelligence: A Guide to Intelligent Systems (2nd Edition) by Michael Negnevitsky, 2004-11-12 Artificial Intelligence: A New Synthesis by Nils J. Nilsson, 1998-04-15 Bayesian Artificial Intelligence (Chapman & Hall/CRC Computer Science & Data Analysis) by Kevin B. Korb, Ann E. Nicholson, 2003-09-25 Problem-Solving Methods in Artificial Intelligence by nils nilsson, 1971 Artificial Intelligence for Maximizing Content Based Image Retrieval (Premier Reference Source) by Zongmin Ma, 2008-11-26 Artificial Intelligence: The Very Idea by John Haugeland, 1989-01-06 Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge by Etienne Wenger, 1987-10

lists with details

21. Think 3-2 An Overview
    An overview of three fundamental reasoning formalisms in artificial intelligence which can and have been used in modelling legal reasoning. These formalisms are deductive, inductive and analogical reasoning.  
    http://cwis.kub.nl/~fdl/research/ti/docs/think/3-2/zelez.htm
    
    Extractions: E-mail: johnz@latcs1.lat.oz.au In this paper we provide an overview of three fundamental reasoning formalisms in artificial intelligence which can and have been used in modelling legal reasoning. These formalisms are deductive, inductive and analogical reasoning. We do not insist that legal decision support systems must incorporate all three formalisms; however it is our belief that truly intelligent systems will eventually incorporate at least these three. There are of course many other artificial intelligence approaches which may be useful in legal decision support systems, but which have yet to be fully exploited in law. We will mention these in our conclusion and indicate where we believe they might be used, but focus in this paper on those approaches which are currently well established in law. We begin by giving a discussion of deductive systems and in particular how they have been used in legal decision support systems. We show how rules can be used to represent both statutory material and case law. We then consider reasoning with cases directly, and focus on induction. Then we examine the use that lawyers make of analogy, and how we may build systems which perform analogical reasoning. We conclude with a discussion of how researchers have gone about integrating the formalisms previously discussed. But before we begin, we need to agree on a common definition of deduction, induction and analogy. While many would dispute aspects of these definitions, we will nonetheless use them in the context of this paper since we believe they are the most useful definitions when working in the legal domain.

22. MachineBrain Robots, Robotics, Artificial Intelligence, AI, And Kits.
    Directory of robots and artificial intelligence (AI). Information on cyborgs, androids, BattleBots and robotic toys.  
    http://www.machinebrain.com/
    
    Extractions: New Honda ASIMO Features Intelligence Technology Tokyo, December 5, 2002 - Honda Motor Co., Ltd. has released a new model of its intelligent humanoid robot ASIMO which is capable of interpreting the postures and gestures of humans and moving independently in response. ASIMO's ability to interact with humans has advanced significantly - it can greet approaching people, follow them, move in the direction they indicate, and even recognize their faces and address them by name. Go to article. Military Robots Well Trained for War In future wars, robots may drop from the sky by the hundreds from unmanned aircraft, swarming like giant insects over battlefields in coordinated, terrifying assaults. Read article Diagram: How land robots maneuver in combat missions

23. Damjan Bojadziev: Mind Versus Gödel
    Compares the mind to advanced computers and artificial intelligence, as Goedel would possibly view them.  
    http://nl.ijs.si/~damjan/g-m-c.html
    
    Extractions: in M. Gams , M. Paprzycki and X. Wu (eds.), Mind Versus Computer IOS Press 1997, pp. 202-210 Slightly edited version, with added links, derived from , published in the special issue of Informatica , vol. 19, no. 4, Nov. 1995, pp. 627-34, MIND not equal COMPUTER Formal models of the mind Self-reference in computers Self-reference in minds Conclusion References At first sight, the designation of the topic of this special issue, "MIND <> COMPUTER", also transcribed as "Mind NOT EQUAL Computer", looks like a piece of computer ideology, a line of some dogmatic code. But there are as yet no convincing artificial animals, much less androids, and computers are not yet ready for the unrestricted Turing test. Although they show a high degree of proficiency in some very specific tasks, computers are still far behind humans in their general cognitive abilities. Much more, and in much more technical detail, is known about computers than about humans and their minds. Thus, the required comparison between minds and computers does not even seem possible, much less capable of being stated in such a simple formula. incompleteness might be called, following [Hofstadter 79, p. 468] and [Mendelson 64, p. 147], essential incompleteness.

24. Computer Science Department, University Of Regina
    Department of Computer Science. Major research areas include artificial intelligence, graphics, image processing, expert systems, mathematical software and modeling, distributed computing, and theory of computation.  
    http://www.cs.uregina.ca/
    
    Extractions: The University of Regina's B.Sc. and B.Sc. Honours degrees in Computer Science have been accredited by the Canadian Information Processing Society's (CIPS) Computer Science Accreditation Council (CSAC). The CSAC works with academic institutions to ensure that educational programs prepare students for the demands of the Computing and Information Systems profession. Completion of accredited computer information systems programs, assist graduates in pursuing the Information Systems Professional of Canada (I.S.P.) designation. More information about CIPS and the professional certification program can be obtained at http://www.cips.ca or (905) 602-1370. This WWW page is an official communication of the University of Regina.

25. Computer Science And Artificial Intelligence In COGS
    Computer Science and artificial intelligence Subject Group. Research interests Foundations of Computing; Natural Language Processing; HumanCentred Computing Technology; Evolutionary and Adaptive Systems; Neural Computation; Computer Vision and Medical Imaging.  
    http://www.cogs.susx.ac.uk/csai/

26. Applied Intelligence: Home Page
    A consultancy specialising in realworld applications of artificial intelligence and data mining.  
    http://www.applied-intelligence.co.uk/

27. Advanced Stock Technical Analysis, Prediction And Trading Software
    Stock technical analysis and trading system based on advanced artificial intelligence  
    http://www.deepinsight.com
    
    Extractions: For a long time, charting has been the main technical analysis approach. It needs many years of experience to be successful. Now, DeepInsight can learn all that intelligence and much more in a few minutes by combining statistical analysis with Neural Networks . It is far more accurate, powerful and objective than traditional technical analysis. Making a trading decision is a complex issue. By using its intelligent Expert System, DeepInsight automatically accumulates profitable trading patterns, analyzes the effectiveness of various indicators and trading strategies. The Expert System then makes optimal trading recommendations by taking all related information into account.

28. International Symposiums On Artificial Intelligence And Mathematics
    7th International Symposium. Fort Lauderdale, Florida, USA; 24 January 2002.  
    http://rutcor.rutgers.edu/~amai/

29. CMU Artificial Intelligence Repository
    Collection of files, programs, publications, of interest to artificial intelligence researchers, educators, students, practitioners.  
    http://www.cs.cmu.edu/Groups/AI/html/repository.html
    
    Extractions: The Artificial Intelligence Repository gratefully acknowledges the support of Carnegie Mellon University's School of Computer Science Prime Time Freeware , and ACM SIGART Snapshots of this repository are available on CD-ROM as Prime Time Freeware for AI http://www.cs.cmu.edu/Web/Groups/AI/html/air.html /afs/cs.cmu.edu/project/ai-repository/ai/html/air.html AI.Repository@cs.cmu.edu

30. Our Molecular Future
    By Douglas Mulhall; Prometheus Books, 2002, ISBN 1573929921. Examines vast potential of new technologies to help us cope with many problems. Site has table of contents, excerpts, news release. Prometheus Books Publishers  
    http://www.ourmolecularfuture.com/

31. Site Officiel D’A.I.
    Site officiel fran§ais du film de Steven Spielberg avec Jude Law et Haley Joel Osment.  
    http://www.ai-lefilm.com/

32. Eric Brill's Home Page
    Johns Hopkins University Empirical natural language processing, speech recognition, spoken language systems, machine learning, and artificial intelligence. Lexical disambiguation, parsing, classifier combination, spelling correction, language modelling.  
    http://www.cs.jhu.edu/~brill
    
    Extractions: The primary goal of my research is to make information access and the use of computing devices a natural and painless task. As a step towards this goal, we are trying to make computers proficient at processing human language. We are pursuing a line of research that falls under the rubric of Empirical Natural Language Processing: trying to get a computer to automatically or semi-automatically learn linguistic and world knowledge from on-line resources. I am the co-editor of a recent special issue of AI Magazine on this topic, which has some excellent introductory articles for anybody who wants to learn more about this field. I am on the editorial board of Computational Linguistics , and the Journal for Artificial Intelligence Research . I have also served as the program committee chair for: the 1996 International Conference on Computational Linguistics (COLING-96) Session on Corpus-Based Language Processing, the 1996 Conference on Empirical Methods in Natural Language Processing (Sponsored by the Association for Computational Linguistics) and the 1995 Speech Recognition Symposium, Corpus-Based NLP Session. I served as a

33. Chinese Room Argument [Internet Encyclopedia Of Philosophy]
    Article by Larry Hauser, on Searle's wellknown thought experiment opposing the possibility of artificial intelligence. The argument and several counterarguments are considered.  
    http://www.utm.edu/research/iep/c/chineser.htm
    
    Extractions: The Chinese Room Argument The Chinese room argument - John Searle's (1980a) thought experiment and associated (1984) derivation - is one of the best known and widely credited counters to claims of artificial intelligence (AI), i.e., to claims that computers do or at least can (someday might) think. According to Searle's original presentation, the argument is based on two truths: brains cause minds , and syntax doesn't suffice for semantics . Its target, Searle dubs "strong AI": "according to strong AI," according to Searle, "the computer is not merely a tool in the study of the mind, rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states" (1980a, p. 417). Searle contrasts "strong AI" to "weak AI". According to weak AI, according to Searle, computers just simulate thought, their seeming understanding isn't real (just as-if) understanding, their seeming calculation as-if calculation, etc.; nevertheless, computer simulation is useful for studying the mind (as for studying the weather and other things).

34. Udine, University Of
    Department of Mathematics and Computer Science. Research areas include databases, software engineering, medical informatics, artificial intelligence, programming languages, formal methods, robotics, and computer vision.  
    http://www.dimi.uniud.it/

35. Eric Hansen's Home Page
    Mississippi State University artificial intelligence, planning and reasoning under uncertainty, and resource-bounded computing.  
    http://www.cs.msstate.edu/~hansen

36. Index Page
    26 December 2002 in Canberra, Australia. Workshops, tutorials, invited speakers, call for papers, topics, registration and accommodation information.  
    http://www.cs.adfa.edu.au/~abbass/AI02/
    
    Extractions: AI'02 is a forum for exchanging results on research and applications in Artificial Intelligence. Theory and technology presented at AI'02 are of interest to researchers and practitioners who want to know about both theoretical advances and the latest applied developments in Artificial Intelligence. The conference technical program can found here [ PDF HTML

37. Prolog For Artificial Intelligence Programming With The AI4U Textbook
    Open Source AI projects in Prolog.  
    http://mind.sourceforge.net/prolog.html

38. Department Of Cybernetics And Artificial Intelligence
    Technical University of Kosice, Slovakia.  
    http://www.tuke.sk/kkui/kkui-a.html

39. Artificial Intelligence [Internet Encyclopedia Of Philosophy]
    Describing the view that human cognitive mental states can be duplicated in computers.  
    http://www.utm.edu/research/iep/a/artintel.htm
    
    Extractions: As a theory in the philosophy of mind, artificial intelligence (or AI) is the view that human cognitive mental states can be duplicated in computing machinery. Accordingly, an intelligent system is nothing but an information processing system. Discussions of AI commonly draw a distinction between weak and strong AI. Weak AI holds that suitably programmed machines can simulate human cognition. Strong AI, by contrast, maintains that suitably programmed machines are capable of cognitive mental states. The weak claim is unproblematic, since a machine which merely simulates human cognition need not have conscious mental states. It is the strong claim, though, that has generated the most discussion, since this does entail that a computer can have cognitive mental states. In addition to the weak/strong distinction, it is also helpful to distinguish between other related notions. First, cognitive simulation is when a device such as a computer simply has the same the same input and output as a human. Second, cognitive replication occurs when the same internal causal relations are involved in a computational device as compared with a human brain. Third, cognitive

40. Mind.Forth AI4U Program For Robot Artificial Intelligence
    Robot AI (in Win32Forth) based on an original theory of mind.  
    http://mind.sourceforge.net/mind4th.html

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