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FREEnet (The Network for Research, Education and Engineering) |
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FREEnet is an academic and research network, interconnecting computer networks of research institutes of the Russian Academy of Sciences, universities, colleges, and other research and academic institutions. It was established in 1991 by the N.D. Zelinsky Institute of Organic Chemistry at the Center of Computer Assistance to Chemical Research. It provides its more than 350 members of the academic and educational community with all types of basic Internet services and various information services.
Strategies and Policies
FREEnets general intention is to become a backbone infrastructure providing:
Open networking services for efficient access to the network and information resources located both in Russia and all over the Internet.
Reliable network connectivity for research, academic and educational communities in Russia and abroad.
Worldwide access to science and information resources of the Russian Academy of Sciences, universities and colleges in Russia.
Assistance to the progress of Russian based fundamental research.
Assistance to the development and application of modern information technologies in education.
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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.
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