ARTIFICIAL INTELLIGENCE (AI)

ARTIFICIAL INTELLIGENCE (AI)

1. Generic Categories

   • Classification, Diagnosis Systems, Monitoring, Process Control, Design, Scheduling & Planning, Generation of Options

2. How Expert Systems Work

   • Strength of an ES derives from its knowledge base, ES is built in a process known as knowledge engineering, Hallmark of an expert system- drawn by the inference engine

3. Knowledge Representation and the Knowledge Base

   • -Knowledge representation is the method used to organize the knowledge in the knowledge base, -Knowledge bases: represent notions as actions to be taken under circumstances, causality, time, dependencies, goals, and other higher-level concepts.
     • Method knowledge representation: Frame-based systems & Production rules

4. Inference Engine

   • Controls the order in which production rules are applied & resolves conflicts if more than one rule is applicable at a given time
     • Given case are entered into the working memory (acts as a blackboard, accumulating the knowledge about the case at hand)
       • Strategies an inference engine reach a conclusion: 1. Forward chaining 2. Backward chaining