gasser@pollux.usc.edu (Les Gasser) (01/16/91)
**************************************************************** PRELIMINARY CALL FOR PARTICIPATION A EUROCOURSE ON DISTRIBUTED ARTIFICIAL INTELLIGENCE: THEORY AND PRAXIS ONE WEEK INTERNATIONAL SUMMER SCHOOL **************************************************************** CO-CHAIRS: Nikos Avouris, JRC/Ispra Les Gasser, Univ. of Southern California DATES: 1-5 July 1991 VENUE: The European Community Joint Research Centre at Ispra, Italy, on the side of Lake Maggiore, 70 Km north of Milan and 30 km south of the Italian-Swiss border. WHY DISTRIBUTED AI: Knowledge-based systems made up of collections of knowledge bases or intelligent agents working together are required for many practical reasons. Artificial Intelligence (AI) practitioners have become increasingly interested building and understanding such systems, and thus interested in concepts such as group interaction, social organization, and society as metaphors and problem generators for AI. As a result a new branch of AI, called Distributed Artificial Intelligence (DAI), has emerged, which is addressing problem solving and intelligent action from these perspectives. Research in the Distributed Problem Solving branch of DAI studies how a particular problem-solving task can be divided among a number of specialist nodes that exchange knowledge about the problem and the developing solution. Multiagent systems research is concerned with coordinating intelligent behaviour among a collection of (possibly pre-existing) autonomous intelligent agents. Distributed AI is having wide-ranging impacts in the engineering of AI systems (cooperating expert systems and knowledge media, distributed sensing and data fusion, cooperating robots, etc.), cognitive science (e.g., mental models, social cognition), distributed systems (reasoning about knowledge and actions in distributed systems, architectural and language support for DAI, distributed system behavior), design (collaborative design problem solving, design of composite systems), human-computer interaction, (task allocation, intelligent interfaces, dialogue coherence, speech acts), natural language processing, CSCW (task allocation, intelligent interfaces, group decision support, dialogue coherence, speech acts), and basic AI and distributed AI (problem representations, epistemology, joint concept formation, coordinated reasoning and problem solving, multiagent planning). DAI also draws from and contributes to other disciplines, (such as organization theory, sociology, and economics, to name a few), contributing to the development of theoretical and methodological foundations and modeling techniques. WHO SHOULD ATTEND: This course will include a thorough survey of problems and techniques in contemporary DAI. We will develop a comprehensive picture of current knowledge about DAI, in preparation for building DAI systems or as background for doing advanced research in DAI. A second aim will be to engage in active construction, modification, discussion and criticism of individual and/or group DAI projects. The course is oriented toward AI researchers and practitioners with an active interest in examining and applying DAI techniques, researchers working in applications wishing to examine the possibilities of this techniques in their field, and technology managers tracking leading-edge technologies for distributed computing and AI. STRUCTURE OF THE COURSE: The course will be structured as a week of intensive lectures by European and worldwide authorities in DAI, combined with discussions and system explorations, in a workshop-like atmosphere. The course will involve 2-3 hours of lecture in the mornings, and discussion and working time in the afternoons, in individual interest or subject area groups. Students will have access to facilities that they can use individually or in groups to experiment with DAI systems, and there will be ample opportunity for intensive discussion and debate. HOW TO REGISTER: Early registration is required because there is a limited number of places available. For more information contact: Dr. Nikos Avouris, JRC Ispra, TP 440, I-21020 Ispra, Italy tel: +39-332-789341/789046 fax: +39-332-789256 e-mail: n_avouris@cen.jrc.it Dr. Les Gasser, DAI Group, SAL-200, Computer Science Dept., USC, Los Angeles, CA 90089-0782, USA. tel: +1-213-740-4510 fax: +1-213-740-7285 email: gasser@usc.edu. or Eurocourses Secretariat, JRC Ispra, I-21020 Ispra, Italy tel +39-332-789819 fax +39-332-789839 Or return the following form: ---------------------- CUT HERE ------------------------ RETURN TO: Dr. N. Avouris (for the DAI Course), JRC Ispra, TP 440, I-21020 Ispra, Italy ___Please supply me with information about the "Distributed Artificial Intelligence: Theory and Praxis" Course of June 1991. ____Please supply me with information about the Eurocourses programme for 1991 Name ______________________________________________ Title ______________________________________________ Institution ______________________________________________ Address ______________________________________________ City ______________________________________________ Country ______________________________________________ Phone ____________________________ Fax ____________________________ E-mail ____________________________