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Graphs, search, heuristics, and knowledge explicitly encoded in rules are components of the symbol-based approach to AI. Explicitly representing knowledge continues to be successful when addressing new challenges. This chapter presents two important symbol-based AI applications. First, in ► Sects. 11.1–11.3, we describe planning algorithms and give examples of controlling robots and deep space vehicles. Second, in ► Sects. 11.4–11.5, we demonstrate examples of symbol-based machine learning.

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Advanced Applications of Symbol-Based AI: Planning and Learning

  • 章节

  • 发表日期：

    2025年

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  • George F. Luger

摘要

Graphs, search, heuristics, and knowledge explicitly encoded in rules are components of the symbol-based approach to AI. Explicitly representing knowledge continues to be successful when addressing new challenges. This chapter presents two important symbol-based AI applications. First, in ► Sects. 11.1–11.3, we describe planning algorithms and give examples of controlling robots and deep space vehicles. Second, in ► Sects. 11.4–11.5, we demonstrate examples of symbol-based machine learning.