@article {145,
	title = {A Hormone-Driven Epigenetic Mechanism for Adaptation in Autonomous Robots},
	journal = {IEEE Transactions on Cognitive and Developmental Systems},
	volume = {10},
	year = {2018},
	note = {<a href="https://ieeexplore.ieee.org/document/8115310">Download</a> (Open Access)},
	pages = {445{\textendash}454},
	publisher = {IEEE},
	abstract = {Different epigenetic mechanisms provide biological organisms with the ability to adjust their physiology and/or morphology and adapt to a wide range of challenges posed by their environments. In particular, one type of epigenetic process, in which hormone concentrations are linked to the regulation of hormone receptors, has been shown to have implications for behavioral development. In this paper, taking inspiration from these biological processes, we investigate whether an epigenetic model based on the concept of hormonal regulation of receptors can provide a similarly robust and general adaptive mechanism for autonomous robots. We have implemented our model using a Koala robot, and tested it in a series of experiments in six different environments with varying challenges to negotiate. Our results, including the emergence of varied behaviors that permit the robot to exploit its current environment, demonstrate the potential of our epigenetic model as a general mechanism for adaptation in autonomous robots.},
	issn = {2379-8920},
	doi = {10.1109/TCDS.2017.2775620},
	url = {https://ieeexplore.ieee.org/document/8115310/},
	author = {Lones, John and Lewis, Matthew and Lola Ca{\~n}amero}
}
