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