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Artificial Intelligence Computer Science: more books (100)

Tractable Reasoning in Aritificial Intelligence (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Marco Cadoli, 1995-08-25
Web Usage Analysis and User Profiling: International WEBKDD'99 Workshop San Diego, CA, USA, August 15, 1999 Revised Papers (Lecture Notes in Computer Science ... / Lecture Notes in Artificial Intelligence) by Brij Masand, 2000-09-06
Multi-Agent and Multi-Agent-Based Simulation: Joint Workshop MABS 2004 (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Probabilistic Inductive Logic Programming (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Speaker Classification II: Selected Papers (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) (No. 2)
A Tight, Practical Integration of Relations and Functions (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Harold Boley, 1999-10-29
Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Ralph Bergmann, Klaus-Dieter Althoff, et all 2004-02-12
Agent Mediated Electronic Commerce II: Towards Next-Generation Agent-Based Electronic Commerce Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) (Pt. 2)
Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Intelligent Information Integration for the Semantic Web (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Ubbo Visser, 2005-03-14
Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Learning Classifier Systems: 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Foundations of Knowledge Representation and Reasoning (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Computational Learning Theory: 4th European Conference, EuroCOLT'99 Nordkirchen, Germany, March 29-31, 1999 Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

lists with details

Department Of Computer Science
Department of computer science. Research areas include computer architecture, programming languages, theoretical computer science, algorithms, artificial intelligence, and humanmachine interfaces. Links to laboratory servers.
http://www.cs.keio.ac.jp/
AI Horizon: Computer Science And Artificial Intelligence Programming Resources
Articles, source code, and other resources for beginners to computer science and artificial intelligence programming, from the basics of algorithms to
http://www.aihorizon.com/

Extractions: Site Updates This site is designed to help you learn the basics of Computer Science and Artificial Intelligence programming. We provide a smooth transition between learning a language to understanding what to do with it. Read the introduction to see how and why we approach Artificial Intelligence in the way that we do. Vioxx Lawsuit Information
UMass Amherst: Department Of Computer Science
Research on topics in artificial intelligence, Machine Learning, Robotics, and Agents.
http://www.cs.umass.edu/csinfo/groups.html

Extractions: The University Computer Science Research Clusters Research Labs and Groups (full list in alphabetical order) Autonomous and Multi-Agent Systems (Paul Cohen, Rod Grupen, Victor Lesser, Sridhar Mahadevan, Lee Osterweil, Shlomo Zilberstein) Electronic Teaching (Rick Adrion, Jim Kurose, Beverly Woolf) Foundations of Computing (Micah Adler, Andy Barto, Dave Barrington, Neil Immerman, Robbie Moll, Arnold Rosenberg, Hava Siegelmann, Ramesh Sitaraman) Information Retrieval and Data Mining (James Allan, Paul Cohen, Bruce Croft, David Jensen, David Kulp, Victor Lesser, R. Manmatha, Andrew McCallum, Edwina Rissland, Shlomo Zilberstein) Machine Learning (Andy Barto, Paul Cohen, Rod Grupen, David Jensen, David Kulp, Erik Learned-Miller, Sridhar Mahadevan, Andrew McCallum, Robbie Moll, Hava Siegelmann, Paul Utgoff) Networking, Distributed Systems, and Security
Welcome To The Home Of MAICS
The 16th Midwest artificial intelligence and Cognitive science Conference, The conference will be hosted by The Department of computer science at the
http://www.maics.us/

Extractions: The MAICS conference is a regional conference that accepts papers from all areas of artificial intelligence and cognitive science, including computational linguistics, logic and automated reasoning, knowledge representation, learning and philosophy of mind. Graduate students and junior faculty are especially encouraged to submit papers. The broad range of topics together with the fact that usually only about 20 to 30 submitted papers are accepted, which are mixed with presentations by well known scientists, make the MAICS conference a very special event that has served as a first time presentation opportunity for many graduate students and has attracted international participants. The 16th Midwest Artificial Intelligence and Cognitive Science Conference, MAICS 2005, will be on April 16 and 17 2005. The conference will be hosted by: The Department of Computer Science at the University of Dayton. For information on the upcoming MAICS 2005 conference please see the newly updated registration, schedule and venue pages.
Department Of Computer Sciences (Univ. KL) -- Department Of Computer Sciences At
Department of computer science. Research involves software components, algorithms, CAD, computer graphics, computational geometry, information management, computer networks, database and information systems, computer architecture, numerical algorithms, foundations of computer science and programming, communication systems, system software, robotics, artificial intelligence, software engineering, learning, programming languages and compiler constructions, and VLSI design.
http://www.informatik.uni-kl.de/english/
68: Computer Science
artificial intelligence, CMU; Digital Bibliography for computer science; computer science Bibliographies collection of computer science bibliographies
http://www.math.niu.edu/~rusin/known-math/index/68-XX.html

Extractions: POINTERS: Texts Software Web links Selected topics here Computer science, today more accurately a separate discipline, considers a number of rather mathematical topics. In addition to computability questions arising from many problems in discrete mathematics, and logic questions related to recursion theory, one must consider scheduling questions, stochastic models, and so on. Computer Science is no more about computers than astronomy is about telescopes. E. W. Dijkstra There is a website devoted to the history of computing (only some of this, of course, is "computer science" in the mathematical sense). For papers involving machine computations and programs in a specific mathematical area, See Section 04 in that area. This includes computational issues in group theory number theory statistics , and so on. In particular, for numerical linear algebra see linear algebra , and for graph-theoretic questions such as the traveling salesman problem or scheduling algorithms, see Combinatorics Issues of numerical stability of algorithms, rates of convergence, and so on form the field of
School Of Computer Science | University Of Waterloo
Department of computer science. Research areas include algorithms and complexity, artificial intelligence, computer graphics, databases, distributed systems, programming languages, scientific computation, software engineering, symbolic computation, text management, user interfaces, and very large scale integration.
http://www.math.uwaterloo.ca/CS_Dept/homepage.html

Extractions: Waterloo's ACM Contest teams will be chosen according to the results of these contests. ... Other talks in the School of Computer Science The School of Computer Science takes pride in its diversity of strengths, innovation in research and education, and close contact with surrounding high-tech companies. Housed in the Faculty of Mathematics, the School comprises 72 faculty members, nearly 300 graduate students, and 1800 undergraduates. New Assistant Professor Edward Lank has been on both sides of the computer science divide, having worked in both the private and academic sectors. He has served as Chief Technical Officer at Canadian startup MediaShell, as a researcher at Xerox's Palo Alto Research Center, and on the faculty of San Francisco State University. Although he officially joins the faculty full-time in June 2006, he has taken a semester's sabbatical to come here this fall as a Research Assistant Professor. Read More ...
Artificial Intelligence@Computer Science, Lund University
Department of computer science. artificial intelligence @ computer science. The main topic that covers our common scientific interests is Autonomous
http://ai.cs.lth.se/

Extractions: Current Projects Seminars Publications Education ... SDE The main topic that covers our common scientific interests is Autonomous Agents. Our research spans from the theoretical models of intelligent systems, coming both from the field of AI but also from cognitive science and anticipatory systems theory, through knowledge representation, planning and learning, to implementation strategies (behaviour specification, software architectures and environments, but also hardware realizations like, e.g., robots). The area of multi-agent systems and collective intelligence are also within the scope of our interest. A very short and possibly outdated presentation of the group may be found in the file aics-slides This academic year (2004/05) our seminars are held approximately every second week, in "glasburen" ( E:2405 ). Please check the exact date and time on the seminar page. Current Projects Seminars Publications Education ... Proceedings of the Workshop , gzipped tar file, 4.8 MB) SweConsNet 05 Workshop, Lund, 7 March 2005
Multiple-Valued Logic
A MathFIT Workshop. School of computer science, Queen's University Belfast; 27 28 April 2001.
http://www.qub.ac.uk/ivs/mvl/

Extractions: Programme. The application of multiple-valued logic (MVL) to (i) reasoning, and to (ii) learning, represents a slowly-burgeoning area of research work. This workshop aims at significantly strengthening these applications of MVL. We are aiming at enhancing the role of MVL in data mining and in artificial intelligence. A range of speakers will deal with theoretical aspects of MVL, and applications to reasoning (in artificial intelligence) and to learning (in data mining). Clustering and classification are at the core of many of these methods and applications. The opening morning session will consist of tutorials, aimed at PhD research students and young researchers.
Artificial Intelligence@Computer Science, Lund University
Department of computer science. Frontiers in artificial intelligence and Applications Series, Vol. 117, pp. 2938, IOS Press, 2005, L. Castillo et al.
http://ai.cs.lth.se/papers.shtml

Extractions: Current Projects Seminars Publications Education ... SDE Papers Mats Petter Pettersson. Reversed Planning Graphs for Relevance Heuristics in AI Planning. Frontiers in Artificial Intelligence and Applications Series , Vol. 117, pp. 29-38, IOS Press, 2005, L. Castillo et al. (Eds.). Maozu Guo, Yang Liu, and Jacek Malec. A New Q-Learning Algorithm Based on the Metropolis Criterion. In IEEE Transactions on Systems, Man and Cybernetics, Part B Cybernetics , Vol. 34, No. 5, pages: 2140-2143, October 2004. Mikael Asker and Jacek Malec, On Reasoning and Planning in Real-Time: An LDS-based approach Proc. of the 4th COGROB Workshop , Valencia, Spain, August 23-24, 2004. Kevin LeBlanc, Stefan Johansson, Jacek Malec, Humberto Martinez and Alessandro Saffiotti, Team Chaos 2004 , Proc. RoboCup 2004, Lisbon, Portugal, June 2004. Mikael Asker and Jacek Malec, Reasoning with limited resources: Active Logics Expressed as Labelled Deductive Systems Proc. of the 8th National Conference on Robotics , Polanica Zdroj, Poland, June 23-25, 2004.
Deon'06 Homepage
2006 July 1214, Utrecht, Netherlands. The workshop supports research linking the formal-logical study of normative concepts with computer science, artificial intelligence, philosophy, organization theory and law.
http://www.cs.uu.nl/deon2006/

Extractions: The biennial DEON workshops are designed to promote cooperation among scholars across disciplines who are interested in deontic logic and its use in computer science. These workshops traditionally support research linking the formal-logical study of normative concepts and normative systems with computer science, artificial intelligence, philosophy, organisation theory and law. In addition to these general themes, DEON2006 will encourage a special focus on the topic
Undergraduate Courses In Artificial Intellingence - British
artificial intelligence and computer science BSc/MCompAI. University of Southampton. computer science with artificial intelligence BSc/MEng
http://www.britishcouncil.org/home/science/science-research/science-research-rob
Faculty Of Computer Science, University Of Ulm
Faculty of computer science. Databases and information systems, artificial intelligence, neural information processing, software engineering and compiler construction, computer structures, theoretical computer science, and distributed systems.
http://www.informatik.uni-ulm.de/engl/index.html
School Of Computer Science - Study Opportunities - Undergraduate Degrees - Compu
artificial intelligence is the science that studies the computational basis of computer science with artificial intelligence seemed to be an ideal
http://www.cs.bham.ac.uk/study/undergraduate/csai.php

Extractions: Home Search About Us Research ... Resources Opportunities for Undergraduate Study Undergraduate Study HOME STUDY UNDERGRADUATE Introduction ... Examples of Student Work Artificial Intelligence is the science that studies the computational basis of intelligence. In this half of the degree you will encounter all the subfields of the discipline: including expert systems, machine learning, philosophy, neural networks, intelligent robotics, natural language processing, computer vision, human computer interaction, artificial life, automated reasoning, and evolutionary systems. In the Computer Science half of the degree you will gain a firm grounding in the theories of computation, and the techniques of software engineering. The degree has a significant programming component. You will learn at least three languages during your studies. In each year you will use these to implement and analyse AI techniques. You will also write essays and participate in seminars examining major debates in AI. In the final year you will spend one third of your time on your degree project. You can choose eight modules from the options available. The Artificial Intelligence group in the School is one of the largest in the UK. We have a particularly strong group in Evolutionary Computing. The School has a purpose built robotics laboratory to support undergraduate teaching.
Computer Science And Software Engineering
Department of computer science. Research areas include design and analysis of algorithms, computer architecture and VLSI, databases and information systems, mathematics of computation, parallel and distributed computing, artificial intelligence, programming languages and methodology, and theoretical computer science.
http://www.cs.concordia.ca/
School Of Computer Science - Study Opportunities - Undergraduate Degrees - Maths
BSc artificial intelligence and computer science BSc computer science Work in artificial intelligence has drawn heavily on that in mathematics in
http://www.cs.bham.ac.uk/study/undergraduate/mathai.php

Extractions: Home Search About Us Research ... Resources Opportunities for Undergraduate Study Undergraduate Study HOME STUDY UNDERGRADUATE Introduction ... Examples of Student Work Work in Artificial Intelligence has drawn heavily on that in mathematics in recent years, and a background in mathematics is increasingly important in research. Areas of AI that have particularly benefited from interaction with mathematics include machine learning, neural networks, and advanced logics. The flow has been two way. AI workers have contributed to the automated proof of mathematical theorems (some unproven by humans); to the development of new forms of logic for fuzzy and temporal reasoning; and to the development of new randomised algorithms (eg genetic algorithms) that have attracted attention from the Mathematics community. Specialities at Birmingham within AI include mathematical reasoning, evolutionary computing, neural networks, machine learning, and new logics. You will have the chance to study all of these, and to pursue one topic in depth for your final year project. Mathematical reasoning using diagrams
CS News
Department of computer science. Research groups Algorithms and Complexity; Bioinformatics; Graphics and Geometric Design; artificial intelligence and Robotics; Parallel Compilers; Programming Languages; Scalar Compilers; Systems. (Houston, TX)
http://www.cs.rice.edu/
Artificial Intelligence
The very nature of these questions make artificial intelligence an inherently Partha Niyogi (computer science); GinaAnne Levow (computer science)
http://ai.cs.uchicago.edu/

Extractions: Artificial Intelligence How does the mind/brain work? Can we provide computational and mathematical characterizations of the various procedures that make intelligent behavior possible? Can we replicate aspects of living intelligence in an artificial machine? The very nature of these questions make Artificial Intelligence an inherently multi-disciplinary effort. This is particularly so at Chicago. Our research interests divide principally into three areas: Faculty in several departments work in areas that make strong contact with computational issues in cognitive and neural systems. Partha Niyogi (Computer Science) Gina-Anne Levow (Computer Science) John Goldsmith (Computer Science and Linguistics) Pedro Felzenszwalb (Computer Science) Michael O'Donnell (Computer Science) Yali Amit (Statistics and Computer Science)
AISTATS 2005
2005, Januray 68, Barbados. An interdisciplinary gathering of researchers at the intersection of computer science, statistics, and related areas. Submission deadline 14 September 2004.
http://www.gatsby.ucl.ac.uk/aistats/cfp.htm

Extractions: This is the tenth workshop on Artificial Intelligence and Statistics, an interdisciplinary gathering of researchers at the intersection of computer science, statistics, and related areas. Since its inception in 1985, the primary goal of this workshop has been to broaden research in both of these fields by promoting the exchange of ideas between them. We encourage the submission of all papers which are in keeping with this objective. Presentations will include invited talks, contributed talks, and posters. Papers for poster sessions will be treated equally with papers for oral presentation in publications. Active learning and experimental design
Department Of Computer Science | University Of Würzburg
Department of computer science. Research topics include information structures, knowledgebased systems, programming languages and methodology, distributed systems, theoretical computer science, technical computer science, artificial intelligence, and applied computer science.
http://www.informatik.uni-wuerzburg.de/institut/main_e.html

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