Expert Systems Essay

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Expert Systems: The Past, Present and Future of Knowledge-based Systems

Expert Systems were invented as a way to decrease the reliance by corporations on human "experts" -- people who apply reasoning and experience to make judgements in a specific field, such as medicine, insurance underwriting or the operation of a power-plant. Hence, an expert system should include a database of facts and a way of reasoning about them. In many, but not all, applications it is also helpful to have a way for the system to reason with probabilities or non-Boolean truth values. Expert systems are also sometimes referred to a "knowledge-based systems".

In classical AI many different reasoning methods have been tried. A few of the common ones are "forward …show more content…

... if the effective domain decompositions are not known and the available domain knowledge is limited to the set of allowable actions and constraints. An example of such a problem is maze traversal, where the knowledge about the structure of the maze is not available a priori.

"Class 2. These are the problems where problem solving task-reduction rules are known. However, the overall problem-solving process is not structured. Many game-playing machines (bridge, backgammon, etc) are examples.

"Class 3. Problems where the problem-solving process is well-structured, while the resulting plan exhibits flexibility... Examples of such problems are cooking instructions and trip planning.

"Class 4 problems are the problems where both the problem-solving strategy and the resulting plan have a fixed unalterable architecture. In this case, the solution is usually in the form of plan parameters that then fit into the predefined plan schema. An example of such a plan could be crop management planning." (Martínez 146-147)

Classes 4 and 3 are especially amenable to implementation as expert-systems, but some of the prototypical systems fell into Class 2.

Early …show more content…

In business environments, when computers were first invented, special individuals (computer operators) had the responsibility of "interpreting" the computer's output. The same people sometimes had to "fix" or "prepare" input to the computer as well; they might have to punch paper cards, or type up data-files a certain way, or patch values into a program to reflect current conditions. However, as computers became more widespread and powerful, and more people became "computer-literate", the artificial human layer became insupportable. To the extent that expert systems were only an attempt to soften the human-machine interface, they went in the wrong direction. The typical expert system asked questions in a predetermined order according to what the original expert thought was important, until a conclusion could be reached. Some companies used their expert systems to hide proprietary business processes from lower-level employees; legally, this became indefensible. Some users soon found that an expert system was too slow, and it was relegated to merely a training-function for new

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