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Think Tanks |
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Think tanks, usually not so much in the focus of public attention, but even more active behind the scenes are organizations dealing with political and/or public policy issues. Mostly labeled as independent (research) institutes, they differ from pure academia in that the research that is conducted is channeled towards certain fairly specific purposes.
Some think tanks are affiliated with universities, while also governments run think tanks. Within the private think tanks, most widely known are the ideological think tanks. These organizations aim to shape public opinion and government policy over a wide range of issues so as to advance the political ideologies or approaches to public policy making which are supported by their members.
Especially the research of ideologically motivated think tanks sometimes is of questionable scholarly value and their policy prescriptions are politically motivated. The problem is compounded by links between think tanks and the media from which both parties benefit or influenced by corporate and other donors, which preclude critical assessment of the quality and objectivity of think tank research.
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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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