Adapting the Predator-Prey Game Theoretic Environment to Army Tactical Edge Scenarios with Computational Multiagent Systems

EasyChair Preprint 604

Abstract

The historical origins of the game theoretic predator-prey pursuit problem can be traced back to Benda, et al., 1985 [1]. Their work adapted the predator-prey ecology problem into a pursuit environment focused on the dynamics of cooperative behavior between predator agents. Modifications to the predator-prey ecology problem [2] have been implemented to understand how variations to predator [3, 4] and prey [5] attributes, including communication [6], can modify dynamic interactions between entities that emerge within that environment [7, 8]. Furthermore, the predator-prey pursuit environment has become a testbed for simulation experiments with computational multiagent systems [9 – 11]. This article theoretically extends previous work by providing 1) additional variations to predator and prey attributes for simulated multiagent systems in the pursuit problem, and 2) military-relevant predator-prey environments simulating highly dynamic tactical edge scenarios that Soldiers might encounter on future battlefields. Through this exploration of simulated tactical edge scenarios with computational multiagent systems, Soldiers will have a greater chance to achieve overmatch on the battlefields of tomorrow.

Keyphrases: Multiagent Systems, cooperative behavior, predator-prey pursuit, simulation, tactical edge

@booklet{EasyChair:604,
  author    = {Derrik Asher and Sean Barton and Erin Zaroukian},
  title     = {Adapting the Predator-Prey Game Theoretic Environment to Army Tactical Edge Scenarios with Computational Multiagent Systems},
  doi       = {10.29007/dlq7},
  howpublished = {EasyChair Preprint 604},
  year      = {EasyChair, 2018}}