Directory Of Open Access Journals Keywords computer science, artificial intelligence Start Year 1997. First Monday Keywords artificial intelligence, computer science Start Year 1997 http://www.doaj.org/ljbs?cpid=114
Christophe Delord's -- Home Page ENSEEIHT, France, computer science engineer, artificial intelligence (dialogue simulation, speech acts, PROLOG), Python, lexical and syntactic parsing. http://christophe.delord.free.fr
IBM Research | IBM Research | Artificial Intelligence artificial intelligence (AI) is the study of how computer systems can simulate Although it is most commonly viewed as a subfield of computer science, http://domino.research.ibm.com/comm/research.nsf/pages/r.ai.html
Extractions: About us Artificial Intelligence (AI) is the study of how computer systems can simulate intelligent processes such as learning, reasoning, and understanding symbolic information in context. AI is inherently a multi-disciplinary field. Although it is most commonly viewed as a subfield of computer science, and draws upon work in algorithms, databases, and theoretical computer science, AI also has close connections to the neurosciences, cognitive science and cognitive psychology, mathematical logic, and engineering. AI Research at IBM goes far beyond game-playing programs and is at the forefront of many of the hottest areas of Artificial Intelligence. Research in AI at IBM can be characterized by the AI techniques or methodologies used in a particular project, or by the motivating application for which AI is used. AI techniques and methodologies include learning, Bayesian Reasoning, intelligent agents, knowledge representation, logic programming, and planning. AI applications include electronic commerce, intelligent tutoring systems, knowledge management, performance management, and exploratory vision.
Department Of Computer Sciences Institute of computer science. Research areas include theoretical computer science, graph grammars, visual programming, computational linguistics, evolutionary computation, parallel and distributed systems, soft computing, fault tolerance, object oriented systems, pattern recognition, data warehousing, scientific databases, workflow management, performance evaluation, artificial intelligence, computer graphics, and simulation. http://www.informatik.uni-erlangen.de/
AI Overview What is artificial intelligence? By John McCarthy. computer science artificial intelligence (AI) is a branch of computer science that studies the http://www.aaai.org/AITopics/html/overview.html
Extractions: AI Overview THE TOPICS AI in the news AI Overview Agents Applications Cognitive Science Education Ethical/Social Expert Systems FAQs History Interfaces Machine Learning Natural Language Philosophy Reasoning Reference Shelf Representation Resources Robots Science Fiction Speech Turing Test Vision What's Left? QUICK START tips AI Overview A - Z Index AI in the news Doing a Report for School Site Map Reference Shelf How to use this site Search Engine DIRECTORY How to use this site Announcements A - Z Index Site Map Reference Shelf Search Engine Contact AI Topics Notices Disclosures AI Topics Home AAAI Home Good Places to Start Readings Online Related Web Sites Related Pages ... More Readings . . . Exactly what the computer provides is the ability not to be rigid and unthinking but, rather, to behave conditionally. That is what it means to apply knowledge to action: It means to let the action taken reflect knowledge of the situation, to be sometimes this way, sometimes that, as appropriate. . . .
University Of Calgary ::: Department Of Computer Science Department of computer science. Research areas artificial intelligence, Biological Modeling and Visualization, Graphics, computer Supported Cooperative Work (CSCW) and Human computer Interaction (HCI), computer Vision, Programming Languages, Quantum Computing, Software Engineering. http://www.cpsc.ucalgary.ca/
AI Magazine Calendar Of Events TwentyEighth German Conference on artificial intelligence. Koblenz, Germany International Conference on computer and Information science (ICCIS 2005) . http://www.aaai.org/Magazine/Departments/calendar.html
Extractions: January 2006 February 2006 March 2006 April 2006 ... December 2005 To include a listing in this Calendar of Events, please complete the form on our web site. Publication is at the discretion of the editors. Because of the volume of requests, no acknowledgment of your submission will be made. Calendar Insertion Form Warning: Meeting dates and contact information can change. AAAI makes no representation of the fitness of the information presented on this page for any purpose. Third International Conference on Knowledge Capture. Banff, AB Canada Contact:
Publications In 1999 Assistant Professor at Department of computer science and Engineering, University of Washington. His research interests lie in artificial intelligence and its application to mobile robotics, believing that building systems is an important part of research, especially in robotics. http://www.cs.cmu.edu/~dfox/
Stanford Artificial Intelligence Laboratory home for researchers in the Stanford computer science Department whose primary research focus is artificial intelligence. Specializes in including manipulation, machine learning, navigation, vision, tactile sensing, and reasoning. http://ai.stanford.edu/
Extractions: Welcome to the Stanford AI Laboratory The Stanford AI Lab (SAIL) is the intellectual home for researchers in the Stanford Computer Science Department whose primary research focus is Artificial Intelligence. The lab is located in the Gates Computer Science Building and the new Clark Center, where 100+ people share the space with 20+ robots. Our mission is to change the way we understand the world. In the past decade, an abundance of data has become available, such as online data on the Web, scientific data such as the transcript of the human genome, sensor data acquired by robots or by the buildings we inhabit. The list is endless. Turning data into information pertaining to problems that people care about, is the central mission of our research. As is a deeper understanding of human-level cognition, perception, and actuation. In short, we seek to develop the next generations of theory, algorithms, and systems, that help us attach meaning to bits and bytes. Members of the Stanford AI Lab have contributed to fields as diverse as bio-informatics, cognition, computational geometry, computer vision, decision theory, distributed systems, game theory, image processing, information retrieval, knowledge systems, logic, machine learning, multi-agent systems, natural language, neural networks, planning, probabilistic inference, sensor networks, and robotics. We invite you to browse our Web site to find out more about our research. Share our excitement about AI, and the many ways in which computers are changing almost every aspect of our lives.
Extractions: Computing Facilities Library ... Useful Links Additions or changes to this page should be directed to: honavar@cs.iastate.edu If you would like to receive email when this page is updated, please enter your email address in the box below and click on the Mind it button. Receive email when this page changes
RMIT - School Of Computer Science And Information Technology Home Page Department of computer science. Conducts research in artificial intelligence, database systems, distributed computing, document management, human computer communication and software engineering. http://www.cs.rmit.edu.au/
Extractions: About RMIT Study at RMIT Admissions Careers ... Research Search Entire site Entire site, incl. images, multimedia... Home pages Staff and other contact details Academic programs [degrees, certificates...] Courses [subjects] Policy and Procedures Images, pdf, multimedia... Current location for Home Our Organisation Faculties Applied Science ... Computer Science and IT
PUBLICATIONS OF THE ARTIFICIAL INTELLIGENCE RESEARCH LABORATORY artificial intelligence Research Laboratory Department of computer science Iowa State University Department of computer science. Iowa State University. http://www.cs.iastate.edu/~honavar/publist.html
Extractions: Publications of the Artificial Intelligence Research Laboratory Books Honavar, V. and Slutzki, G. (1998) (Ed.). Proceedings of the Fourth International Colloquium on Grammatical Inference. (LNCS Vol. 1433). Berlin: Springer-Verlag. Patel, M., Honavar, V., and Balakrishnan, K. (2001) (Ed.) Evolutionary Synthesis of Intelligent Agents. Boston, MA: MIT Press. Honavar, V. and de la Higuera, C. (2001) (Ed.) Advances in Automata Induction, Grammatical Inference, and Language Acquisition. Forthcoming. Honavar, V. and Uhr, L. (1994) (Ed). Artificial Intelligence and Neural Networks: Steps Toward Principled Integration. New York, NY: Academic Press. Journal Papers and Book Chapters Andorf, C., Dobbs, D., and Honavar, V. (2004). Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences. Information Sciences. In press. Caragea, D., Silvescu, A., and Honavar, V. (2004). A Framework for Learning from Distributed Data Using Sufficient Statistics and its Application to Learning Decision Trees.
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/
The World Wide Web Virtual Library: Artificial Intelligence artificial intelligence Group, Department of computer science, University of artificial intelligence and Cognitive science, School of computer science, http://archive.comlab.ox.ac.uk/comp/ai.html
Extractions: Please mail D.W.Corne@reading.ac.uk if you know of relevant on-line information not included here. Use the comp.ai newsgroup for general AI-related queries. This document contains some pointers to information on Artificial Intelligence AI ) available around the world on the World Wide Web (WWW or W3), a global hypermedia system providing worldwide information Starred entries are especially recommended. New entries are added periodically. The following information is available: Department of Artificial Intelligence , University of Edinburgh, UK. See research projects Artificial Intelligence Applications Institute , University of Edinburgh, UK. See projects Lockheed Artificial Intelligence Center , USA. Artificial Intelligence Laboratory J. Stefan Institute , Ljubljana, Slovenia Austrian Research Institute for Artificial Intelligence (OFAI).
Informatics Center for multi disciplinary research and teaching in the fields of artificial intelligence, computer science, Linguistics, Philosophy and Psychology. http://www.cogs.susx.ac.uk/
Extractions: Home A-Z Index People Reference Contact us Home Admissions Teaching Research ... Contacting us We are an internationally renowned centre for research in Computer Science, including Artificial Intelligence, Cognitive Science, Evolutionary Electronics, Human Computer Interaction, Interactive Learning Environments, Multimedia, Neural Computation, Robotics, Software Engineering and Virtual Environments. Informatics Brochure 2006 [pdf] Maintained by: Ann Fletcher ( Feedback
UofT Department Of Computer Science Research AI Department of computer science The artificial intelligence group in Toronto works in several primary subareas of the field computational linguistics, http://www.cs.toronto.edu/DCS/Research/artificial.html
Extractions: The Artificial Intelligence group in Toronto works in several primary subareas of the field computational linguistics, knowledge representation and reasoning, robotics, planning, computer vision, and machine learning / neural networks. We have 14 full-time faculty members whose research spans these areas and more, and offer over a dozen graduate courses to help students develop and expand their knowledge and expertise. Computational Linguistics and Natural Language Processing http://www.cs.utoronto.ca/compling/ The subarea of AI concerned with human languages ("natural languages") is computational linguistics. Researchers in this area are interested in developing programs that can "understand" and generate natural language. "Understanding" involves parsing linguistic input, determining its literal and non-literal meaning, and representing the meaning in a computational formalism; generation reverses this process. Research in this area is now being applied in commercial systems for tasks such as automatic or semi-automatic translation from one language to another, information retrieval, and intelligent aids to writers. Knowledge Representation and Cognitive Robotics
Institutionen För Informationsbehandling - Huvudsida Department of computer science. Research areas include programming methodology, probabalistic algorithms, software quality, applied artificial intelligence, and Linux. http://www.cs.abo.fi/
Artificial Intelligence School of computer science and Engineering (CRICOS Provider No. multimedia design, computer science, artificial intelligence and software/hardware http://www.ai.cse.unsw.edu.au/
Extractions: Last updated Home People Publications AI Seminars ... Contact 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.
Department Of Scientific Computing (Director: Prof. Dr. Peter Zinterhof) Department of Scientific Computing. Research areas cover high dimensional number theoretic numerics, image and video processing, parallel processing, automated theorem proving and artificial intelligence, foundations of abstract signal processing, computer science and society, theoretical physics, integral and differential equations, and neural networks. http://www.cosy.sbg.ac.at/sc/