European Coordinating Committee for Artificial Intelligence

The European Coordinating Committee for Artificial Intelligence (ECCAI) is the representative body for the European Artificial Intelligence community. Its aim is to promote study, research, and applications of AI in Europe. It was established in 1982.Activities Every even-numbered year, ECCAI, jointly with one of the member associations of ECCAI, holds the European Conference on Artificial Intelligence (ECAI). The conference has become the leading conference for this field in Europe. The list of ECAI proceedings is available here. [edit]Fellowship The ECCAI Fellows[1] program has been started in 1999 to recognize individuals who have made significant, sustained contributions to the field of artificial intelligence (AI) in Europe. Fellows' accomplishments range from pioneering advances in the theory of AI, to unusual accomplishments in AI technology and applications. Usually only individuals who have made contributions to AI for a decade or more after receiving their Ph.D. (or are at an equivalent career stage) will be selected. Leadership in ECCAI or ECCAI member societies, support of forums for the exchange of ideas, and extended service for the international AI community also play a role in the selection process. Evidence of technical contribution will often be in the form of publications, but other evidence will also be considered, such as patent awards or statements of longstanding contribution to an industrial group effort. The ECCAI Fellows Program honors only a very small percentage of the total membership of all ECCAI member societies (up to a maximum of 3%). The policies governing the operation of the Fellows Committee are under the review of the ECCAI Board. [edit]Dissertation Award The Artificial Intelligence Dissertation Award sponsored by ECCAI, the European Coordinating Committee for Artificial Intelligence is awarded since 1998. [edit]Member Societies There is a collection of member societies which are national AI societies in European countries.Artificial Intelligence (AI) is the intelligence of machines and robots and the branch of com uter science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents"[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1955,[3] defines it as "the science and engineering of making intelligent machines."[4] AI research is highly technical and specialised, deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. There are subfields which are focused on the solution of specific problems, on one of several possible approaches, on the use of widely differing tools and towards the accomplishment of particular applications. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.[6] General intelligence (or "strong AI") is still among the field's long term goals.[7] Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are an enormous number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. The field was founded on the claim that a central property of humans, intelligence (the sapience of Homo sapiens) can be so precisely described that it can be emulated by a machine.[8] This raises philosophical issues about the nature of the mind and the ethics of creating artificial beings, issues which have been addressed by myth, fiction and philosophy since antiquity.[9] Artificial intelligence has been the subject of optimism,[10] but has also suffered setbacks[11] Today, it has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.