2021
DOI: 10.1016/j.cobeha.2021.04.004
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Agency and goal-directed choice

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Cited by 6 publications
(8 citation statements)
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“…Consequently, while the difference in distance between token distributions across room options is slightly greater than that in the top panel, the difference in potentially obtained outcomes is lesser – if the preference for instrumental divergence is indeed rooted in an affordance of flexible control as subjective utilities change, the preference for the left over the right room in the bottom panel should be significantly less than that in the top panel. In contrast, if the preference scales with the information theoretic distance between token distributions, used in previous work to quantify agency in biological and artificial systems (9; 10), the preference for the left room should, if anything, be slightly greater in the bottom panel of Figure 1.…”
Section: Introductionmentioning
confidence: 88%
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“…Consequently, while the difference in distance between token distributions across room options is slightly greater than that in the top panel, the difference in potentially obtained outcomes is lesser – if the preference for instrumental divergence is indeed rooted in an affordance of flexible control as subjective utilities change, the preference for the left over the right room in the bottom panel should be significantly less than that in the top panel. In contrast, if the preference scales with the information theoretic distance between token distributions, used in previous work to quantify agency in biological and artificial systems (9; 10), the preference for the left room should, if anything, be slightly greater in the bottom panel of Figure 1.…”
Section: Introductionmentioning
confidence: 88%
“…A rational explanation for the free-choice preference is that subjective outcome utilities often change from one moment to the next, and that free choice allows an agent to maximize long run rewards by switching between actions to flexibly produce whichever outcome is most preferred at any given time. Recently, it has been noted that free choice between actions that produce highly similar or identical outcomes affords no such flexibility and that, consequently, instrumental divergence – the degree to which action alternatives yield distinct outcomes – is an essential aspect of dynamic reward maximization (6; 7; 8). Here, the computational basis of a preference for instrumental divergence is probed, by contrasting the absolute and relative distances between outcome probability distributions.…”
Section: Introductionmentioning
confidence: 99%
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