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        <datestamp>2026-10-01T17:50:59Z</datestamp>
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          <dc:title>&lt;p&gt;Agent-based simulations.&lt;/p&gt;</dc:title>
          <dc:creator>Anne M. Mayo (25158074)</dc:creator>
          <dc:creator>Craig Carrigee (25158077)</dc:creator>
          <dc:creator>Audrey B. Harrison (8809634)</dc:creator>
          <dc:creator>Michael L. Mayo (8190330)</dc:creator>
          <dc:creator>Kevin R. Pilkiewicz (7536440)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Mental Health</dc:subject>
          <dc:subject>collective navigational capabilities</dc:subject>
          <dc:subject>achieve without jamming</dc:subject>
          <dc:subject>slower individual egress</dc:subject>
          <dc:subject>movement decisions require</dc:subject>
          <dc:subject>individual decisions</dc:subject>
          <dc:subject>social interaction</dc:subject>
          <dc:subject>social cockroaches</dc:subject>
          <dc:subject>small amount</dc:subject>
          <dc:subject>marked improvement</dc:subject>
          <dc:subject>local density</dc:subject>
          <dc:subject>large number</dc:subject>
          <dc:subject>four bits</dc:subject>
          <dc:subject>forming tendency</dc:subject>
          <dc:subject>feat suggests</dc:subject>
          <dc:subject>employ requires</dc:subject>
          <dc:subject>based model</dc:subject>
          <dc:subject>asocial bristlebots</dc:subject>
          <dc:subject>approaches another</dc:subject>
          <dc:subject>agents present</dc:subject>
          <dc:description>&lt;p&gt;A: A plot of a typical configuration from one of our agent-based simulations. B: A closeup depiction of one of our model agents. C: Several agents are shown at time &lt;i&gt;t&lt;/i&gt; in black, and their future positions at timestep &lt;i&gt;t&lt;/i&gt; + 1, in accordance with the model rules, are shown in red. These examples illustrate the movement cases for no antennal collisions and one antennal collision with a wall or obstacle. D: The movement rules for the case of two antennal collisions with a wall or obstacle are illustrated. Once again, agent configurations at time &lt;i&gt;t&lt;/i&gt; are shown in black. The two possible agent rotations considered by the algorithm are shown in red and blue, with red being the one selected in accordance with the model rules. E: The two pertinent cases of antennal collisions with another agent are considered. As in the previous panels, agent configurations at time &lt;i&gt;t&lt;/i&gt; are in black and are in red for &lt;i&gt;t&lt;/i&gt; + 1. The blue configuration for the leftmost agent is only selected for time &lt;i&gt;t&lt;/i&gt; + 1 with probability . Otherwise, the agent retains its current configuration for another timestep.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T17:50:38Z</dc:date>
          <dc:type>Image</dc:type>
          <dc:type>Figure</dc:type>
          <dc:identifier>10.1371/journal.pcsy.0000136.g003</dc:identifier>
          <dc:relation>https://figshare.com/articles/figure/_p_Agent-based_simulations_p_/34049561</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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