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         Artificial Intelligence:     more books (100)
  1. Logical Foundations of Artificial Intelligence by Michael R. Genesereth, Nils J. Nilsson, 1987-07-15
  2. Artificial Intelligence: Mirrors for the Mind (Milestones in Discovery and Invention) by Harry Henderson, 2007-04-13

141. AI Lab Of The EPFL
Research in constraint satisfaction, modelbased reasoning, case-based reasoning,intelligent agents, and natural language processing.
http://liawww.epfl.ch/
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142. Databases And Artificial Intelligence 3
Databases and artificial intelligence 3 artificial intelligence Segment artificial intelligence Programming in Prolog artificial intelligence
http://www.cee.hw.ac.uk/~alison/ai3notes/all.html
Artificial Intelligence Segment
Next: Contents
Databases and Artificial Intelligence 3
Artificial Intelligence Segment
Alison Cawsey
  • Problem Solving as Search
  • About this document ... alison@
    Fri Aug 19 10:42:17 BST 1994
  • 143. AI-Trader : Tradingsystems For US Stocks Based On Artificial Intelligence
    artificial intelligence trading systems for US stocks. Daily buy / sell overview.
    http://www.ai-trader.com
    Tradingsystems for many stocks! A tradingsystem gives you a system to trade a stock. To trade a stock means to buy and sell this stock according to the underlying tradingsystem. Many traders use tradingsystems in order to beat the stock market. Using a tradingsystem for a stock doesn't guarantee big profit, but can help to increase the profit without a tradingsystem. Of course, trading stocks with a tradingsystem is no guarantee to make big profits. Tradingsystems based on artificial intelligence bring a new perspective in trading stocks. Artificial intelligence is used at AI-Trader to form a tradingsystem for stocks. Each tradingsystem is unique, whcih means a tradingsystem for stock A is completely different from a tradingsystem for stock B. Now enjoy our fine tradingsystems based on artificial intelligence at AI-Trader!

    144. 28th German Conference On Artificial Intelligence, 2005, Koblenz
    2005, September 1114, Koblenz, Germany. 28th Conference covering general AIareas like reasoning, autonomous agents, machine learning and neural networks.
    http://ki2005.uni-koblenz.de/
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    145. Generation5 - John Searle
    A short interview focusing on Searle's views concerning artificial intelligence.
    http://www.generation5.org/searle.shtml
    Home Articles Reviews Interviews ... Contribute Login Login:
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    Interviews Philosophy > General
    John Searle
    Printable Version
    John Searle , Professor of Philosophy at Berkeley, is best known for his famous "Chinese Room" Analogy. The analogy goes like this: Dr. Searle is in a large room with two holes marked I (Input) and O (Output). From the 'I' box, he gets handed questions written in Chinese kanji . Also in his room is a huge book with English instructions as to how to look up the answers and write them on a piece of paper to the Chinese questions - therefore, practicalities aside, he could look up any question and give the right answer. Searle says this is analogous to computers running NLP programs — just because they input the correct answer given an input, no matter how complicated the algorithm, it does not constitute understanding The analogy has been a huge area of debate for the twenty years that has passed since Dr. Searle first published his paper on it. Generation5 is very proud to have had the chance to interview him. Glossary Chinese Room, The

    146. Home Page For School Of Computer Science And Software Engineering
    School of Computer Science and Software Engineering. Research areas include artificial intelligence; audiovisual information processing; digital systems hardware; computing education; database systems; distributed, parallel and mobile computing; logic and theory; reasoning under uncertainty; and software engineering.
    http://www.csse.monash.edu.au/
    Skip to content Change text size About CSSE Courses ... Site map SEARCH Computer Science and Software Engineering Information Technology All of Monash CSSE Computer Science and Software Engineering
    About CSSE
    General Information, Location, Contact details, History.
    Courses
    Degrees, Courses, Handbook Entries.
    People
    Staff, Students, Alumni.
    Research
    Research Groups, Publications, Seminars.
    Student Information
    On-line Coursework, Subjects, Timetables, Important Dates, Student Club.
    Community
    Jobs, Smarthouse Project, Open Day, Schools Liason Activities.
    Mostly restricted access.
    Latest News
    Monash University ABN 12 377 614 012 - Caution CRICOS Provider Number: 00008C
    Last updated: 19 August 2005 - Maintained by webmaster@csse.monash.edu.au Privacy Accessibility information

    147. Artificial Intelligence
    Originating in artificial intelligence with the study of robot learning and modelsof natural learning, it has led to spinoffs like neural and evolutionary
    http://www.ai.cse.unsw.edu.au/
    Last updated Home People Publications AI Seminars ... Contact
    Artificial Intelligence
    Key Areas:
    The following are the main research areas in our group. There are many other areas of interest persued by individual researchers - please consult their respective home pages for more details. Knowledge Acquisition : Knowledge Acquisition is concerned with the development of knowledge bases based on the expertise of a human expert. This requires to express knowledge in a formalism suitable for automatic interpretation. Within this field, research at UNSW focusses on incremental knowledge acquisition techniques, which allow a human expert to provide explanations of their decisions that are automatically integrated into sophisticated knowledge bases. Knowledge Representation and Reasoning : Knowledge representation and reasoning deals with the formal aspects of representing and modelling problem domains and then reasoning with these representations. A key focus is the tradeoff between the expressiveness of the representation and the complexity of the associated reasoning algorithms. Machine Learning : Machine learning is the computational approach to learning from data. Originating in artificial intelligence with the study of robot learning and models of natural learning, it has led to spin-offs like neural and evolutionary computation, data mining, learning theory and program synthesis. The techniques have been applied in just about every current data-intensive area of activity.

    148. Politecnico Di Milano
    Department of Electronics and Computing. Research areas include artificial intelligence and robotics, computer architecture, databases and information systems, multimedia, software engineering, theoretical computer science,
    http://www.elet.polimi.it/

    149. Brown CS: Artificial Intelligence
    artificial intelligence at Brown University is concerned with theoretical andempirical studies involving problems ranging from natural language
    http://www.cs.brown.edu/research/ai/
    Home Search
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    BLLIP (Brown Laboratory for Linguistic Information Processing)
    BLLIP is research group for the stufy of computational linguistics (or, if you prefer, Natural Language Processing). It is comprised of members from both the Computer Science and the Cognitive and Linguistic Science departments.
    Events
    Every week
    • BLLIP group meeting, for discussion of current work in the Natural Language Processing (i.e. computational linguistics) group. Every Friday at 11am in the Cog Sci conference room (Metcalf 229?).
    Semiregular
    • AI Lunch , for presentations of current and in-progress AI papers, practice talks, etc. Often on Wednesdays at noon in the conference room (CIT 506).
    Information on particular areas
    Partially observable Markov decision processes (POMDPs)
    Uncertainty in AI
    Bayesian networks, belief networks, influence diagrams ...
    Planning and scheduling
    Page Owner: Don Blaheta Last Modified: Tue Jun 4 13:46:47 2002

    150. What Is Artificial Intelligence? - A Word Definition From The Webopedia Computer
    This page describes the term artificial intelligence and lists other pages onthe Web where you can find additional information.
    http://www.webopedia.com/TERM/A/artificial_intelligence.html
    You are in the: Small Business Computing Channel View Sites + ECommerce-Guide Small Business Computing ... »Close Enter a word for a definition... ...or choose a computer category. choose one... All Categories Communications Computer Industry Companies Computer Science Data Graphics Hardware Internet and Online Services Mobile Computing Multimedia Networks Open Source Operating Systems Programming Software Standards Types of Computers Wireless Computing World Wide Web Home
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    artificial intelligence Last modified: Tuesday, February 10, 2004 The branch of computer science concerned with making computers behave like humans. The term was coined in 1956 by John McCarthy at the Massachusetts Institute of Technology. Artificial intelligence includes
  • games playing: programming computers to play games such as chess and checkers
  • expert systems programming computers to make decisions in real-life situations (for example, some expert systems help doctors diagnose diseases based on symptoms)
  • natural language programming computers to understand natural human languages
  • neural networks Systems that simulate intelligence by attempting to reproduce the types of physical connections that occur in animal brains
  • robotics programming computers to see and hear and react to other sensory stimuli Currently, no computers exhibit full artificial intelligence (that is, are able to simulate human behavior). The greatest advances have occurred in the field of games playing. The best computer chess programs are now capable of beating humans. In May, 1997, an IBM super-computer called
  • 151. Julia Hodges's Computer Science Home Page
    Mississippi State University artificial intelligence, knowledge representation, knowledge discovery in databases, expert systems, document understanding.
    http://www.cs.msstate.edu/~hodges
    Julia Hodges
    Professor, Ph.D., University of Louisiana at Lafayette
    Research Areas: Automated Document Classification, Data Mining and Knowledge Discovery in Databases Office Address: Bu 313
    Office Phone: 662-325-2756
    E-Mail Address: hodges@cse.msstate.edu For a list of recent papers and reports by Dr. Hodges, click here. For more information on the AI research activities in the Department of Computer Science and Engineering, click here. For information about the TA Practicum, click here. For information about CSE 4503/6503 in Fall 2005, click here. For the regulations regarding after-hours access to Butler Hall, click here.
    Fore more information about Mississippi State University, contact msuinfo@ur.msstate.edu Last Modified:
    Wednesday, 24-Aug-2005 10:44:57 CDTby Julia E. Hodges The views and opinions expressed in this page are strictly those of the page author.
    The contents of this page have not been reviewed or approved by Mississippi State University.

    Mississippi State University is an equal opportunity institution.

    152. IngentaConnect Publication: Applied Artificial Intelligence
    Applied artificial intelligence. ISSN 08839514 visit publication homepage Applied artificial intelligence logo Taylor and Francis Ltd logo
    http://www.ingentaconnect.com/content/tandf/uaai

    153. Push Singh
    MIT Media Lab artificial intelligence, open source web collaborations, leader of Open Mind Commonsense project.
    http://www.media.mit.edu/people/push/
    Push Singh E-mail: push@mit.edu Address: Room E15-394, 20 Ames St., Cambridge, MA 02139
    Phone: (617) 253-1750 Weblog pushsingh.blogspot.com Background Research Publications ... Random
    Background
    Until recently, I was a Ph.D. student in the department of EECS at MIT . I am now a Postdoctoral Associate at the MIT Media Lab . My research is focused on finding ways to give computers human-like common sense , the ability to think about the everyday world like people do. I believe this will enable a new generation of computing systems that will be much more powerful and friendly than those based on present-day technologies. I am actively pushing a project at the Media Lab to develop programs capable of commonsense thinking. This is a very hands-on effort to build a suite of commonsense knowledge bases, inference engines, and architectural elements for linking these together, as well as new kinds of applications built on these technologies. These systems use multiple representations including semantic networks, propositional and first-order probabilistic graphical models, case bases of story scripts, rule based systems, logical axioms, shape descriptions, and even English sentences. For more details about this effort please visit the Media Lab's Commonsense Computing web page.

    154. 2002 Australasian Natural Language Processing Workshop
    2 December 2002, Canberra, Australia. To be held in conjunction with the 15th Australian Joint Conference on artificial intelligence (AI'02). Organized by the Centre for Language Technology at Macquarie University.
    http://www.clt.mq.edu.au/Events/Conferences/anlp2002/
    2002 Australasian Natural Language Processing Workshop
    So you can't use frames! No worries, have a look at the index page anlp-info@ics.mq.edu.au Last modified: Tue Jun 4 11:11:32 EST 2002

    155. MIT // The Algorithms Group At CSAIL
    The Algorithms Group, part of the Theory of Computation (TOC) group in the Computer Science and artificial intelligence Laboratory (CSAIL). People and research projects.
    http://theory.lcs.mit.edu/groups/algorithms.html
    The Algorithms Group
    at CSAIL About Research People Classes ... Contact The Algorithms Group The Algorithms Group at the Massachusetts Institute of Technology ( MIT ), is part of the Theory of Computation ( TOC ) group at the MIT's Computer Science and Artificial Intelligence Laboratory ( CSAIL ). This research group focuses upon practical and theoretical applications for Algorithms. We have faculty, students, and visitors from both the Department of Electrical Engineering and Computer Science and the Department of Mathematics Site last updated 3 August, 2005 17:55 Massachusetts Institute
    of Technology
    77 Massachusetts Avenue
    Cambridge, MA 02139

    156. Carlosweb
    Carlos Calderon's research combining virtual environments and artificial intelligence techniques to enhance the interactivity of a VE.
    http://www.staff.ncl.ac.uk/carlos.calderon/

    157. Finnish Artificial Intelligence Society FAIS
    Links to events, list of publications, information about the society.
    http://www.uwasa.fi/stes/eindex.html
    [Suomeksi]
    Activity in 2004
    Activity in 2003
    General
    Contact information:
    - FINNISH ARTIFICIAL INTELLIGENCE SOCIETY FAIS
    Secretary Susanna Koskinen
    Address: Henrikintie 7 A, 00370 HELSINKI
    Visiting Address: Tikkurikuja 10 T, 00750 Helsinki
    Phone - office: +358-9-5617-830
    Fax - office: +358-9-5607-5365
    Mobile - office: +358-40-535-2617
    E-mail - secretary: susanna.koskinen@hennax.inet.fi
    Board of FAIS in 2002:
    Pekka Ala-Siuru (chairman)
    Mauri Kaipainen
    Heikki J. Koskinen
    Tapani Raiko
    Jukka Remes ...
    Lasse Lilja
    Events in year 2002
    Events in years 2000 and 2001
    Events in 1999

    158. Introduce Computational Modelling And Simulation, By Running Applets And Learn T
    Features include Elizalike talk to computer artificial intelligence, enhanced Conway Game of Life, featuring two-colonies universe and monte carlo polymer simulations.
    http://www.entropy-way.com
    Introduction - Wonder what you can do with your computer apart from using it as a boring spread sheet or word processor?
    - Want to learn Java TM computer language for career development or personal achievement?
    - Curious about scientific uses of computers?
    If your answer is yes to any of these questions, this section may be for you!
    Quick links to various computer simulation subjects, or click here for brief description of each subject. Otherwise, read on for more information about computer simulations.
    Subject List Talk to Computer
    Game of Life (Enhanced)

    Monte Carlo Simulation

    Fractal Garden

    It is intended to introduce these specialized subjects to people of diverse backgrounds - students, professionals, lay person etc. Mathematics and hard-to-understand jargons are kept to a minimum. I hope that you will find this site to be fun, informative and educational.
    Looking for domain name registration, reliable web-hosting or e-commerce? We recommend the professionals at affordable prices!

    159. PC AI - Forth Programming Language
    Forth history and selected links, with a focus on artificial intelligence.
    http://www.pcai.com/web/ai_info/pcai_forth.html
    Where Intelligent Technology Meets the Real World Home Contents Search News ... Contact PC AI
    Forth Programming Language
    Overview : Charles Moore created Forth in the 1960s and 1970s to give computers real-time control over astronomical equipment. A number of Forth's features (such as its interactive style) make it a useful language for AI programming, and devoted adherents have developed Forth-based expert systems and neural networks. Functions in Forth are called "words." The programmer uses Forth's built-in words to create new ones and store them in Forth's "dictionary." In a forth program, words pass information to one another by placing data onto (and removing data from) a "stack," a software structure in which the last element in is the first element out. Using a stack in this way (Forth's unique contribution to the world of programming languages) enables Forth applications to run quickly and efficiently. Two groups of loyalists (the Forth Interest Group and the Institute for Applied Forth Research) help promote the language. Two lively books by Brodie (1984, 1987) are perhaps the best-known introductions to Forth, and an article by Sperry (1991) is a short, well-informed overview. Townsend and Feucht (1968) discuss Forth in connection with expert systems. The San Jose-based Forth Interest Group lists a number of independent developers who have build Forths for various platforms.

    160. The AI Group At The University Of Manchester
    artificial intelligence IIartificial intelligence II. artificial intelligence II Introduction AI Systems and Definitions An example of intelligent action Summary
    http://www.cs.man.ac.uk/ai/
    Go to main content contact us help You are here: Main site
    The AI Group
    School of Computer Science
    Artificial Intelligence Group
    Who we are
    The AI group provides theoretically sound solutions to a range of real world problems. We are a very diverse group, with wide-ranging interests and expertise, allowing us to approach research in AI from a variety of perspectives. More information on the people that constitute the AI group is available here
    What we do
    • Projects : The diversity of our projects reflects the breadth of our interests. Research Teaching : The Computer Science department provides an unusually wide range of courses in AI, including a full Honours B.Sc. in Artificial Intelligence. The M.Sc. in Advanced Computer Science contains an Artificial Intelligence specialisation and a number of six-month AI research projects. Seminars : We host many talks on a wide variety of themes, including a Machine Learning and Pattern Recognition seminar series, weekly talks on general AI issues, and more.
    Prospective PhD students
    Fully funded PhD studentships in Machine Learning are now available.

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