Article

Sequential Decisions from Sampling: Inductive Generation of Stopping Decisions Using Instance-Based Learning Theory

2021-12-22

Abstract excerpt

<p>Sequential decisions from sampling are common in daily life: we often explore alternatives sequentially, decide when to stop such exploration process, and use the experience acquired during sampling to make a choice for what is expected to be the best option. In decisions from experience, theories of sampling and experiential choice are unable to explain the decision of when to stop the sequential exploration o...

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Literature Corpus work: 4b58b0db-599f-5584-83f0-4afafd62baef
DOI: 10.31234/osf.io/t4vmb

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