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Related Experiment Videos

Ampliative inference: on choosing a probability distribution

D Osherson1, E Shafir, E E Smith

  • 1IDIAP, Valais, Switzerland.

Cognition
|December 1, 1993
PubMed
Summary
This summary is machine-generated.

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This study explores ampliative inference, the process of selecting probability distributions with incomplete data. It examines psychological and normative aspects, advancing a new hypothesis on this reasoning method.

Area of Science:

  • Cognitive Science
  • Decision Theory
  • Probability Theory

Background:

  • Ampliative inference involves choosing probability distributions based on limited information.
  • Understanding this reasoning is crucial in both psychological and normative contexts.

Purpose of the Study:

  • To explore psychological and normative questions surrounding ampliative inference.
  • To provide a tutorial discussion on the topic.
  • To advance a substantive hypothesis regarding ampliative reasoning.

Main Methods:

  • The study employs a largely tutorial approach.
  • It involves conceptual analysis of ampliative inference.
  • A new hypothesis is introduced and discussed.

Main Results:

Related Experiment Videos

  • The paper addresses key psychological questions about how individuals perform ampliative inference.
  • It tackles normative questions concerning the rationality of such inferences.
  • A novel hypothesis concerning the formation of probability distributions under uncertainty is proposed.

Conclusions:

  • Ampliative inference presents complex challenges in both understanding human cognition and establishing rational decision-making frameworks.
  • Further research is needed to empirically test the proposed hypothesis.
  • The study contributes to a deeper understanding of reasoning with incomplete information.