Part2.2 Expert Systems.ppt - Part 2.2 Knowledge Based Decision Support Expert Systems ICS625 Artificial Intelligence Systems for Decision Support Expert

Part2.2 Expert Systems.ppt - Part 2.2 Knowledge Based...

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Part 2.2 Knowledge Based Decision Support: Expert Systems ICS625 Artificial Intelligence Systems for Decision Support
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ICS625 2 Expert Systems Expertise: extensive task-specific knowledge acquired from training, reading and experience Includes : theories, rules & procedures, strategies, facts and meta-knowledge Expert systems: a computer application that employs a set of rules based on human knowledge to solve problems that require human expertise
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ICS625 3 Expert Systems Attempt to Imitate Expert Reasoning Processes and Knowledge in Solving Specific Problems Most Popular Applied AI Technology Enhance Productivity Augment Work Forces Narrow Problem-Solving Areas or Tasks
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ICS625 4 Provide direct application of expertise Expert Systems do not replace experts, but they Make their knowledge and experience more widely available Permit non-experts to work better Expert Systems
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ICS625 5 Basic structure of an ES follows the generic structure of a DSS The knowledge base is specific to a particular problem domain associated with the ES The main difference between an ES and DSS is that the ES contains knowledge acquired from experts in the application domain The Concept and Structure of Expert Systems
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ICS625 6 Common Expert System Architecture User Knowledge Engineer User Interface Inference Engine Knowledge Base User Environment KE Tool Kit KE Interface Development Environment Organization Systems Interface
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ICS625 7 Experts and Expertise Transferring Expertise Inferencing Rules Explanation Capability Concepts about Expert Systems
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ICS625 8 Expertise The extensive, task-specific knowledge acquired from training, reading and experience Theories about the problem area Hard-and-fast rules and procedures Rules (heuristics) Global strategies Meta-knowledge (knowledge about knowledge) Facts Enables experts to be better and faster than non-experts
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ICS625 9 Some Facts about Expertise Expertise is usually associated with a high degree of intelligence, but not always with the smartest person Expertise is usually associated with a vast quantity of knowledge Experts learn from past successes and mistakes Expert knowledge is well-stored, organized and retrievable quickly from an expert Experts have excellent recall
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ICS625 10 Human Expert Behaviors Recognize and formulate the problem Solve problems quickly and properly Explain the solution Learn from experience Restructure knowledge Break rules Determine relevance Degrade gracefully (aware of limitations)
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ICS625 11 Transferring Expertise Objective of an expert system To transfer expertise from an expert to a computer system and Then on to other humans (non- experts) Activities Knowledge acquisition Knowledge representation Knowledge inferencing Knowledge transfer to the user Knowledge is stored in a knowledge base
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ICS625 12 Two Knowledge Types Facts Procedures (usually rules)
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