April 1998
Beginner
513 pages
14h 32m
English
Content preview from Artificial IntelligenceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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7
Agents That Plan
7.1 Memory Versus Computation
The action functions of reactive agents (Figures 2.2, 5.1, and 5.3) do very little computation. Essentially, these agents have their actions selected for them—either by their designers, by learning, by evolutionary processes, or by some combination of these sources. The action functions themselves can be implemented by tables, production rules, or combinational logic circuits that prescribe actions given a feature vector. Such implementations lie toward the “space” end of the classic space-time tradeoff in computer science. They are space- or memory-based implementations—compilations of the designer’s knowledge.
A broadly competent reactive machine, able to perform complex tasks in complex environments ...
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