Landscapes of payoff differences (<i>P</i><sub><i>diff</i></sub>) and Nash equilibrium speed changes (<sub><i>i</i></sub>) with the non-sensory motor algorithm in the absence of the behavioral cost coefficient (<i>c</i><sub><i>b</i></sub> = 0).

Landscapes of payoff differences (<i>P</i><sub><i>diff</i></sub>) and Nash equilibrium speed changes (<sub><i>i</i></sub>) with the non-sensory motor algorithm in the absence of the behavioral cost coefficient (<i>c</i><sub><i>b</i></sub> = 0).

<p><b>A</b> and <b>B</b> show the landscapes of <i>P</i><sub><i>diff</i></sub> and Nash equilibrium speed changes, respectively, under the reproduction coefficient of predators (<i>r</i> = 3.2). <b>C</b> and &l...

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Bibliographic Details
Main Author:	Hiroyuki Ichijo (13891153) (author)
Other Authors:	Yuichiro Kawamura (18968482) (author), Tomoya Nakamura (354540) (author)
Published:	2025
Subjects:	Neuroscience Ecology Mental Health Biological Sciences not elsewhere classified using encounter probabilities sensory &# 8211 lacked directional information distinct adaptive significance distance remains unclear animals process information understanding behavioral evolution sensory motor algorithm construct payoff matrices corresponding equilibrium behaviors nash equilibrium behaviors agents initiates attack prey </ p predators attack prey nash equilibrium payoff matrices motor algorithm animals respond diverse attack analyzed attack prey respond prey depending prey ). execute behaviors defense behaviors behaviors requires xlink "> uncovering functions results suggest possible difference neuronal circuits mathematically derived give rise games based game theory experimental framework evolutionary mechanisms different conditions computational mechanism computational biology central question approach offers agents interact
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