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        <datestamp>2026-09-30T17:52:27Z</datestamp>
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          <dc:title>&lt;p&gt;The Hunter-Gatherer Game with Predator.&lt;/p&gt;</dc:title>
          <dc:creator>Sergej A. E. Golowin (25145509)</dc:creator>
          <dc:creator>Niall W. Duncan (9177024)</dc:creator>
          <dc:creator>Faizan Shaikh (25145512)</dc:creator>
          <dc:creator>Christoph W. Korn (11657787)</dc:creator>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Sociology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>without requiring assumptions</dc:subject>
          <dc:subject>enabled formal comparison</dc:subject>
          <dc:subject>choices showed evidence</dc:subject>
          <dc:subject>sequential foraging task</dc:subject>
          <dc:subject>integrated value signals</dc:subject>
          <dc:subject>approach &amp;# 8211</dc:subject>
          <dc:subject>g ., reward</dc:subject>
          <dc:subject>humans adjust decision</dc:subject>
          <dc:subject>avoidance &amp;# 8211</dc:subject>
          <dc:subject>threat probabilities ),</dc:subject>
          <dc:subject>higher reward probabilities</dc:subject>
          <dc:subject>optimal action values</dc:subject>
          <dc:subject>individual decision features</dc:subject>
          <dc:subject>higher predation risk</dc:subject>
          <dc:subject>predation risk</dc:subject>
          <dc:subject>action values</dc:subject>
          <dc:subject>value structure</dc:subject>
          <dc:subject>sequential decision</dc:subject>
          <dc:subject>optimal policy</dc:subject>
          <dc:subject>relevant features</dc:subject>
          <dc:subject>decision features</dc:subject>
          <dc:subject>reward probability</dc:subject>
          <dc:subject>probabilistic reward</dc:subject>
          <dc:subject>xlink "&gt;</dc:subject>
          <dc:subject>strongly reflected</dc:subject>
          <dc:subject>shared model</dc:subject>
          <dc:subject>remains unclear</dc:subject>
          <dc:subject>reduced reliance</dc:subject>
          <dc:subject>policies based</dc:subject>
          <dc:subject>parsimonious account</dc:subject>
          <dc:subject>optimization principles</dc:subject>
          <dc:subject>increased alignment</dc:subject>
          <dc:subject>immediate rewards</dc:subject>
          <dc:subject>future risks</dc:subject>
          <dc:subject>findings suggest</dc:subject>
          <dc:subject>feature policy</dc:subject>
          <dc:subject>enhanced integration</dc:subject>
          <dc:subject>creating contexts</dc:subject>
          <dc:subject>commonly framed</dc:subject>
          <dc:subject>avoidance contexts</dc:subject>
          <dc:description>&lt;p&gt;See Methods (&lt;a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1014793#sec013" target="_blank"&gt;Section 4.3&lt;/a&gt;, “Description of the Hunter–Gatherer Task With Predators”) for complete task details. Participants completed 72 sequential foraging environments (“forests”), each consisting of 8 consecutive time-points (trials). The goal of the game was to “survive” by keeping discrete energy points (maximum = 6) from depleting. At the beginning of a forest, energy levels were randomly set to 4 or 5. Each forest had two weather types displayed before the decision trials started. Each weather specified the probabilities of obtaining food, failing to forage, and (in threat environments) encountering a predator. At each time point, one weather type was randomly selected and participants chose between &lt;b&gt;foraging&lt;/b&gt; and &lt;b&gt;waiting&lt;/b&gt;. Successful foraging increased energy by 1–2 points, unsuccessful foraging decreased energy by 2 points, and waiting incurred a guaranteed loss of 1 energy point. In threat environments, predator encounters caused an additional loss of 3 energy points. The blue bar indicates the participant’s current energy level. The figure illustrates a forest overview (left), an example trial without predator threat (center), and an example trial with predator threat (right).&lt;/p&gt;</dc:description>
          <dc:date>2026-09-30T18:00:31Z</dc:date>
          <dc:type>Image</dc:type>
          <dc:type>Figure</dc:type>
          <dc:identifier>10.1371/journal.pcbi.1014793.g002</dc:identifier>
          <dc:relation>https://figshare.com/articles/figure/_p_The_Hunter-Gatherer_Game_with_Predator_p_/34036540</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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