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Our results confirmed that participants adapted optimally to this manipulation and that only the uncertain group exhibited the canonical probability weighting function: 11/12pic.twitter.com/S0ieaCyAYJ
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We assume that humans seek to maximize reward whilst minimizing uncertainty and incorporate this into our optimization via the entropy of potential outcomes of a lottery. Thus equipped, our simulations fit empirical data quite well: 8/12pic.twitter.com/zg7hUtifJM
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For example, a Nobel-prize winning economic theory proposes that the probability and value functions take the form shown below. 4/12pic.twitter.com/FJxrJfBG8x
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New preprint with Jan Balaguer, Bernhard Spitzer and
@summerfieldlab now out on this topic: Why are our decisions sometimes “irrational”? https://psyarxiv.com/6yhwg/ Take the example below. Which lottery do you prefer in scenario 1? What about scenario 2? 1/12pic.twitter.com/222cbY94xf
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#TrumpProtest still going strong at Picadilly Circus#DragRace
@RuPaul@JHAthertonpic.twitter.com/0eTZsr6rUl
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Great weekend reading by
@CeliaHeyes about how our human-specific cognitive abilities may be shaped in each one of us by social and cultural interaction rather than solely by our genes and "instincts".pic.twitter.com/swj5X2dodW
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Thrilled to be back in NYC for the Canonical Computations in Brains and Machines meeting tomorrow with
@NeuroLuyckx. Could be a bit warmer, though!pic.twitter.com/YtUJOrFk6l
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