@inproceedings {2013,
	title = {Epigenetic Adaptation in Action Selection Environments with Temporal Dynamics},
	booktitle = {Advances in Artificial Life, ECAL 2013},
	year = {2013},
	note = {<a href="https://www.mitpressjournals.org/doi/abs/10.1162/978-0-262-31709-2-ch073">Download</a> (Open Access)},
	pages = {505{\textendash}512},
	publisher = {MIT Press},
	organization = {MIT Press},
	abstract = {To operate in dynamic environments robots must be able to adapt their behaviour to meet the challenges that these pose while being constrained by their physical and computational limitation. In this paper we continue our study into using biologically inspired epigenetic adaptation through hormone modulation as a way to accommodate the needed flexibility in robots{\textquoteright} behaviour, focusing on problems of temporal dynamics. We have specifically framed our study in three variants of dynamic three-resource action selection environment. The challenges posed by these environments include: moving resources, temporal and increasing unavailability of resources, and cyclic changes in type and availability of resources related to cyclic environmental changes.},
	doi = {10.7551/978-0-262-31709-2-ch073},
	url = {https://www.mitpressjournals.org/doi/abs/10.1162/978-0-262-31709-2-ch073},
	author = {Lones, John and Lola Ca{\~n}amero and Lewis, Matthew}
}
@inproceedings {2013,
	title = {Epigenetic Adaptation through Hormone Modulation in Autonomous Robots},
	booktitle = {2013 IEEE 3rd Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL-Epirob 2013)},
	year = {2013},
	note = {Winner: Best Student Paper
<a href="https://ieeexplore.ieee.org/document/6652561">Download</a>},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Osaka},
	abstract = {Epigenetic adaptation provides biological organisms with the ability to adjust their physiology and/or morphology in order to meet some of the challenges posed by their environment. Recent research has suggested that this process may be controlled by hormones. In this paper, we present a model that allows an autonomous robot to develop its systems in accordance with the environment it is currently situated in. Experiments have been undertaken in multiple environments with different challenges and niches to negotiate. We have so far seen encouraging results and the emergence of unique behaviours tailored to exploiting its current environment.},
	isbn = {9781479910366},
	doi = {10.1109/DevLrn.2013.6652561},
	author = {Lones, John and Lola Ca{\~n}amero}
}
