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

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.

RAS ID

32941

Document Type

Conference Proceeding

Date of Publication

2021

School

School of Science

Copyright

subscription content

Publisher

Springer

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

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Link to publisher version (DOI)

10.1007/978-3-030-60135-5