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Patch Foraging in Stable and Volatile Environments

Description

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Stable environment

Built with Task Builder 1

This is a traditional patch foraging task where the participant must choose between exploiting a known patch (visualised as a tree), or explore a new patch. Rewards are presented as apples. The initial richness has a mean of 10 apples, and the depletion rate has a mean of 0.88 (SD=0.07).

Creative Commons Attribution (CC BY)


Volatile Environment - Rich Portion First

Built with Task Builder 1

This is a novel task in which the reward contingencies in the environment shift every 30 trials. These shifts are operationalised through changes to the initial richness of patches and rate at which apples deplete from patches. In the rich portion of the environment, the initial richness has a mean of 13 (SD=1), and the depletion rate has a mean of 0.94 (SD=0.07). In the poor portion of the volatile environment the initial richness has a mean of 7 (SD=1), and a depletion rate of 0.76 (SD = 0.07).

Shifts will occur mid-way through patches, so do not require participants to explore to encounter a new portion of the environment.

In this version of the task, participants encounter the rich portion of the environment first.

Creative Commons Attribution (CC BY)


Volatile Environment - Poor Portion First

Built with Task Builder 1

This is a novel task in which the reward contingencies in the environment shift every 30 trials. These shifts are operationalised through changes to the initial richness of patches and rate at which apples deplete from patches. In the rich portion of the environment, the initial richness has a mean of 13 (SD=1), and the depletion rate has a mean of 0.94 (SD=0.07). In the poor portion of the volatile environment the initial richness has a mean of 7 (SD=1), and a depletion rate of 0.76 (SD = 0.07).

Shifts will occur mid-way through patches, so do not require participants to explore to encounter a new portion of the environment.

In this version of the task, participants encounter the poor portion of the environment first. This should allow you to counterbalance the order in which rich and poor portions are encountered across participants.

Creative Commons Attribution (CC BY)

Public

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Published on 14 August 2024