Major U.S. Think Tanks: Heritage Foundation Heritage was started to counter what it perceived as the liberal intellectual climate of Washington in the 1970s. The Heritage Foundations mission is to formulate and promote conservative public policies based on the principles of free enterprise, limited government, individual freedom, traditional American values, and a strong national defense. Heritage pursues this mission by performing research addressing key policy issues and effectively marketing these findings to its primary audiences: members of Congress, key congressional staff, policymakers in the executive branch, the nation's news media, and the academic and policy communities. Official Organizational Status: Independent research and educational institute. Political Orientation: U.S. Conservative Scope/Research Areas: The Heritage Foundation's research areas include: economic issues, health and welfare, education, culture and religion, security and defense, foreign policy and international relations/institutions. Priority is given to issues, such as: Social Security reform, fundamental tax reform, livable cities, ballistic missile defense, education reform, domestic and economic policy and foreign and defense policy. Recent publications include: Feulner, Edwin J.: The March of Freedom. (1998). Holmes, K. et.al.: 1999 Index of Economic Freedom. (1998). Funding Sources: 1998 Budget: US$ 26 million. Private donations (47 %), foundations (21 %), investment income (21 %), corporate donations (4 %). Among others US$ 1 million from the Korea Foundation - funded by South Korea's foreign ministry.

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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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