Cooperative Information Agents IV - The Future of Information Agents in Cyberspace

Download or read book Cooperative Information Agents IV - The Future of Information Agents in Cyberspace written by Matthias Klusch and published by Springer. This book was released on 2004-02-12 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: These arethe proceedingsof the Fourth InternationalWorkshopon Cooperative Information Agents, held in Boston Massachusetts, USA, July 7-9, 2000. Cooperative information agent research and development focused originally onaccessingmultiple,heterogeneous,anddistributedinformationsources. Ga- ingaccesstothesesystems,throughInternetsearchengines,applicationprogram interfaces, wrappers, and web-based screens has been an important focus of - operative intelligent agents. Research has also focused on the integration of this information into a coherent model that combined data and knowledge from the multiple sources. Finally, this information is disseminated to a wide audience, giving rise to issues such as data quality, information pedigree, source reliability, information security, personal privacy, and information value. Research in - operative information agents has expanded to include agent negotiation, agent communities, agent mobility, as well as agent collaboration for information d- covery in constrained environments. TheinterdisciplinaryCIAworkshopseriesencompassesa widevarietyoft- ics dealing with cooperative information agents. All workshop proceedings have been published by Springer as Lecture Notes in Arti?cial Intelligence, Volumes 1202 (1997), 1435 (1998), and 1652 (1999), respectively. This year, the theme of the CIA workshop was ”’The Future of Information Agents in Cyberspace”, a very ?tting topic as the use of agents for information gathering, negotiation, correlation, fusion, and dissemination becomes ever more prevalent. We noted a marked trend in CIA 2000 towards addressing issues related to communities of agents that: (1) negotiate for information resources, (2) build robust ontologies to enhance search capabilities, (3) communicate for planning and problem so- ing, (4) learn and evolve based on their experiences, and (5) assume increasing degrees of autonomy in the control of complex systems.