- author = "Martin Masek and Chiou Peng Lam and Luke Kelly and Lyndon Benke and Michael Papasimeon",
- title = "A Genetic Programming Framework for Novel Behaviour Discovery in Air Combat Scenarios",
- booktitle = "Data and Decision Sciences in Action 2",
- year = "2018",
- editor = "Andreas T. Ernst and Simon Dunstall and Rodolfo Garc{\'i}a-Flores and Marthie Grobler and David Marlow",
- series = "LNMIE",
- pages = "263--277",
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-3-030-60135-5",
-
DOI = "
doi: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 modeling the effects of electronic warfare.",
-
notes = "Published 2021
School of Science, Edith Cowan University, Perth, WA, Australia",
