Computer Science: An Overview: Global Edition (12th Edition)

Published by Pearson Higher Education
ISBN 10: 1292061162
ISBN 13: 978-1-29206-116-0

Chapter 11 - Artificial Intelligence - Chapter Review Problems - Page 535: 42

Answer

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Work Step by Step

a. Similarity Between Learning by Imitation and Supervised Training Both involve guidance from an external source: - Learning by imitation: The learner observes and mimics the behavior of a model (e.g., a teacher, peer, or expert). - Supervised training: The learner is provided with input-output pairs (examples) and learns to map inputs to correct outputs. Key similarity: - Both rely on examples to guide learning. - The learner does not discover rules independently, but instead learns from demonstrated or labeled behavior. b. Difference Between Learning by Imitation and Supervised Training The format and structure of guidance differ: Imitation: - Often involves observing actions in context. - May lack explicit labels or feedback. - Learning is based on behavioral replication, not necessarily understanding the underlying rules. Supervised training: - Involves explicit labeled data. - The learner receives clear feedback on correctness. - Typically more structured and formalized. Key difference: Imitation is implicit and observational, while supervised training is explicit and data-driven.
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