A genetic programming framework for novel behaviour discovery in air combat scenarios

Authors

Martin Masek, Edith Cowan UniversityFollow
Chiou Peng Lam, Edith Cowan UniversityFollow
Luke Kelly
Lyndon Benke
Michael Papasimeon

Document Type

Conference Proceeding

Publication Title

Data and Decision Sciences in Action 2

Publisher

Springer

School

School of Science

RAS ID

32941

Comments

Masek, M., Lam, C. P., Kelly, L., Benke, L., & Papasimeon, M. (2021). A genetic programming framework for novel behaviour discovery in air combat scenarios. In Data and Decision Sciences in Action 2 (pp. 263-277). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-60135-5_19

Abstract

Behaviour trees offer a means to systematically decompose a behaviour into a set of steps within a tree structure. Genetic programming, which has at its core the evolution of tree-like structures, thus presents an ideal tool to identify novel behaviour patterns that emerge when the algorithm is guided by a set fitness function. In this paper, we present our framework for novel behaviour discovery using evolved behaviour trees, with some examples from the beyond-visual range air combat domain where distinct strategies emerge in response to modelling the effects of electronic warfare.

DOI

10.1007/978-3-030-60135-5

Access Rights

subscription content