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Foraging across the life span: is there a reduction in exploration with aging?

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TLDR
Overall, the evidence suggests that foraging behavior may undergo significant changes across the life span across internal and external search, and finds evidence of a trend toward reduced exploration with increased age.
Abstract
Does foraging change across the life span, and in particular, with aging? We report data from two foraging tasks used to investigate age differences in search in external environments as well as internal search in memory. Overall, the evidence suggests that foraging behavior may undergo significant changes across the life span across internal and external search. In particular, we find evidence of a trend towards reduced exploration with increased age. We discuss these findings in light of theories that postulate a link between aging and reductions in novelty seeking and exploratory behavior.

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Journal ArticleDOI

Development of directed and random exploration in children.

TL;DR: For example, the authors studied how children between the ages of 4 and 9 search in an explore-exploit task with spatially correlated rewards, where exhaustive exploration is infeasible and not all options can be experienced.
Journal ArticleDOI

Self-directed exploration provides a Ncs1-dependent learning bonus

TL;DR: It is shown for the first time in a non-primate species, that spatial learning receives a special bonus from self-directed exploration when exploration is escape-oriented, or when the full repertoire of exploratory behaviors is reduced, no learning bonus occurs.
Journal ArticleDOI

Age-related patterns of neophobia in an endangered island crow: implications for conservation and natural history

TL;DR: Not only may the expression of neophobia be more complicated than previously thought but predicting such responses may also be important for conservation management that requires exposing animals to novelty, such as species' translocation programmes.
Journal ArticleDOI

Sequential exploration in the Iowa gambling task: Validation of a new computational model in a large dataset of young and old healthy participants.

TL;DR: A user-friendly toolbox enabling researchers to easily and flexibly fit computational models on the IGT data, hence promoting reanalysis of the numerous datasets acquired in various populations of patients and contributing to the development of computational psychiatry.
References
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Book

Reinforcement Learning: An Introduction

TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
Book ChapterDOI

Regression Models and Life-Tables

TL;DR: The analysis of censored failure times is considered in this paper, where the hazard function is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time.
Journal ArticleDOI

The processing-speed theory of adult age differences in cognition.

TL;DR: A theory is proposed that increased age in adulthood is associated with a decrease in the speed with which many processing operations can be executed and that this reduction in speed leads to impairments in cognitive functioning because of what are termed the limited time mechanism and the simultaneity mechanism.
Journal ArticleDOI

Patterns of mean-level change in personality traits across the life course: a meta-analysis of longitudinal studies.

TL;DR: The present study used meta-analytic techniques to determine the patterns of mean-level change in personality traits across the life course and showed that people increase in measures of social dominance, conscientiousness, and emotional stability in young adulthood and decrease in both of these domains in old age.
Posted Content

A Domain-Specific Risk-Attitude Scale: Measuring Risk Perceptions and Risk Behaviors

TL;DR: This article presented a psychometric scale that assesses risk taking in various content domains: financial decisions, health/safety, recreational, ethical, and social decisions, and found that respondents' degree of risk taking was highly domain-specific, i.e. not consistently risk-averse or consistently riskseeking across all content domains.
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