BUSI 3700 Lecture Notes - Lecture 17: Genetic Algorithm, Expert System, Subject-Matter Expert

• School: Memorial University
• Department: Business Administration
• Course: BUSI 3700
• Professor: row

Document Summary

Question type: true/false: artificial intelligence is perishable, whereas natural intelligence is permanent from an organizational point of view. Difficulty: easy: it is difficult to document the knowledge of artificial intelligence, but it is easy to document the knowledge of natural intelligence. Difficulty: easy: expertise refers to the extensive, task-specific knowledge acquired from training, reading, and experience. Difficulty: easy: expert systems attempt to mimic human experts by applying expertise in a specific domain. Difficulty: easy: an expert system has a knowledge base and an inference engine. Difficulty: easy: one problem with expert systems is they decrease quality. Difficulty: easy: a neural network has two layers of interconnected nodes. Difficulty: easy: fuzzy logic defines subjective concepts. Difficulty: easy: a genetic algorithm finds the combination of inputs that produces the best outputs. Difficulty: easy: intelligent agents use expert systems and fuzzy logic to create their behavior. Difficulty: easy: the goal of artificial intelligence is to completely replace human intelligence.