Positions Towards the Future of Copyright in the "Digital Age" With the development of new transmission, distribution and publishing technologies and the increasing digitalization of information copyright has become the subject of vigorous debate. Among the variety of attitudes towards the future of traditional copyright protection two main tendencies can be identified: Eliminate Copyright Anti-copyrightists believe that any intellectual property should be in the public domain and available for all to use. "Information wants to be free" and copyright restricts people's possibilities concerning the utilization of digital content. An enforced copyright will lead to a further digital divide as copyright creates unjust monopolies in the basic commodity of the "information age". Also the increased ease of copying effectively obviates copyright, which is a relict of the past and should be expunged. Enlarge Copyright Realizing the growing economic importance of intellectual property, especially the holders of copyright (in particular the big publishing, distribution and other core copyright industries) - and therefore recipients of the royalties - adhere to the idea of enlarging copyright. In their view the basic foundation of copyright - the response to the need to provide protection to authors so as to give them an incentive to invest the time and effort required to produce creative works - is also relevant in a digital environment.

TEXTBLOCK 1/1 // URL: http://world-information.org/wio/infostructure/100437611725/100438659711

Expert system Expert systems are advanced computer programs that mimic the knowledge and reasoning capabilities of an expert in a particular discipline. Their creators strive to clone the expertise of one or several human specialists to develop a tool that can be used by the layman to solve difficult or ambiguous problems. Expert systems differ from conventional computer programs as they combine facts with rules that state relations between the facts to achieve a crude form of reasoning analogous to artificial intelligence. The three main elements of expert systems are: (1) an interface which allows interaction between the system and the user, (2) a database (also called the knowledge base) which consists of axioms and rules, and (3) the inference engine, a computer program that executes the inference-making process. The disadvantage of rule-based expert systems is that they cannot handle unanticipated events, as every condition that may be encountered must be described by a rule. They also remain limited to narrow problem domains such as troubleshooting malfunctioning equipment or medical image interpretation, but still have the advantage of being much lower in costs compared with paying an expert or a team of specialists.

INDEXCARD, 1/1