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Animal affect and decision-making

Research output: Contribution to journalReview article

Original languageEnglish
Pages (from-to)144-163
Number of pages20
JournalNeuroscience and Biobehavioral Reviews
Volume112
Early online date25 Jan 2020
DOIs
DateAccepted/In press - 20 Jan 2020
DateE-pub ahead of print (current) - 25 Jan 2020
DatePublished - 1 May 2020

Abstract

The scientific study of animal affect (emotion) is an area of growing interest. Whilst research on mechanism and causation has predominated, the study of function is less advanced. This is not due to a lack of hypotheses; in both humans and animals, affective states are frequently proposed to play a pivotal role in coordinating adaptive responses and decisions. However, exactly how they might do this (what processes might implement this function) is often left rather vague. Here we propose a framework for integrating animal affect and decision-making that is couched in modern decision theory and employs an operational definition that aligns with dimensional concepts of core affect and renders animal affect empirically tractable. We develop a model of how core affect, including short-term (emotion-like) and longer-term (mood-like) states, influence decision-making via processes that we label affective options, affective predictions, and affective outcomes and which correspond to similar concepts in schema of the links between human emotion and decision-making. Our framework is generalisable across species and generates questions for future research.

    Research areas

  • Decision-making, Affect, Emotion, Mood, Core Affect, Reinforcement Learning, Cognition, Cognitive Bias, Judgement Bias

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via Elsevier at https://www.sciencedirect.com/science/article/pii/S0149763419305202 . Please refer to any applicable terms of use of the publisher.

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    Licence: CC BY

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