Abstract
A lot of decisions that are made during an agent’s behavior computation include randomized choices (e.g., see Chap. 2 and 5). This chapter argues in favor of a “fair” random choice and points out that the computation of an alternative’s utility should be focused instead of empirically tuning choice parameters of less informed selection methods.
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© 2001 Springer-Verlag Berlin Heidelberg
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(2001). Choice Randomization. In: Constraint-Based Agents. Lecture Notes in Computer Science(), vol 2062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45746-1_10
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DOI: https://doi.org/10.1007/3-540-45746-1_10
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42258-7
Online ISBN: 978-3-540-45746-6
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