Pursuit and evasion: Evolutionary dynamics and collective motion

Darren Pais, Naomi E. Leonard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations


Pursuit and evasion strategies are used in both biological and engineered settings; common examples include predator-prey interactions among animals, dog fighting aircraft, car chases, and missile pursuit with target evasion. In this paper, we consider an evolutionary game between three strategies of pursuit (classical, constant bearing, motion camouage) and three strategies of evasion (classical, random, optical-flow based). Pursuer and evader agents are modeled as self-propelled steered particles with constant speed and strategy-dependent heading control. We use Monte-Carlo simulations and theoretical analysis to show convergence of the evolutionary dynamics to a pure strategy Nash equilibrium of classical pursuit vs. classical evasion. Here, evolutionary dynamics serve as a powerful tool in determining equilibria in complicated game-theoretic interactions. We extend our work to consider a novel pursuit and evasion based collective motion scheme, motivated by collective pursuit and evasion in locusts. We present simulations of collective dynamics and point to several avenues for future work.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference
StatePublished - 2010
EventAIAA Guidance, Navigation, and Control Conference - Toronto, ON, Canada
Duration: Aug 2 2010Aug 5 2010

Publication series

NameAIAA Guidance, Navigation, and Control Conference


OtherAIAA Guidance, Navigation, and Control Conference
CityToronto, ON

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering


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