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  Report: Slave and Expert Systems

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 WORLD-INFOSTRUCTURE > SLAVE AND EXPERT SYSTEMS > INTRODUCTION: THE SUBSTITUTION OF ...
  Introduction: The Substitution of Human Faculties with Technology: Computers and Robots


With the development of modern computing, starting in the 1940s, the substitution of human abilities with technology obtained a new dimension. The focus shifted from the replacement of pure physical power to the substitution of mental faculties. Following the early 1980s personal computers started to attain widespread use in offices and quickly became indispensable tools for office workers. The development of powerful computers combined with progresses in artificial intelligence research also led to the construction of sophisticated robots, which enabled a further rationalization of manufacturing processes.




browse Report:
Slave and Expert Systems
-2   Introduction: The Substitution of Human Faculties with Technology: Early Tools
-1   Introduction: The Substitution of Human Faculties with Technology: Powered Machines
0   Introduction: The Substitution of Human Faculties with Technology: Computers and Robots
+1   Introduction: The Substitution of Human Faculties with Technology: Artificial Intelligence and Expert Systems
+2   Early Tools and Machines
+3   The 17th Century: The Invention of the First "Computers"
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1980s: Artificial Intelligence (AI) - From Lab to Life
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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.