Write 9 pages thesis on the topic eat117 electronic principles. Early systems such as General Problem Solver mainly assisted in solving general tasks. They provide a generic planning engine useful in solving structured problems (Jablonski 66). The early logic systems required knowledge of reasoning to operate. The first practical application of logic systems was expert systems. Expert systems emphasized more specific domains rather than general problem-solving. There were also many limitations of expert systems on logic. Focusing on specific domains improved the performance of logic systems. Inference engines were the engines specifically used with expert systems. Inference engines are opposed to theorem provers which had general inference techniques.Logic systems encompass the application of reasoning in decision systems. The most common application of the systems is in computers. Varied implementations of reasoning demonstrate different uses of logic. Logic systems mainly use deductive reasoning to extract inferences from existing knowledge. Inference engines are able to carry out forward or backward reasoning to establish a conclusion. Inferences of conclusions come as a result of modus ponens. The most common types of reasoning include deductive, inductive, defeasible, heuristic, and abductive reasoning. Logic systems can employ open-world assumption, OWA, or closed world assumption, CWA. Logic systems in computers use logic programming to express rules and facts about a task domain. Some of the logic programming families include Answer Set Programming, Datalog, and Prolog (Ambler 79). They provide descriptions of procedures and rules of reasoning by the use of clauses.Application of logic systems is in rule engines which operate using discrete rules. Separate application of logic sets can occur to functionality. Rule engines mainly run reasoning capabilities. Forward and backward chining are common approaches in the implementation of production systems.
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