@article {42795,
	title = {Towards the Neuroevolution of Low-level artificial general intelligence},
	journal = {Frontiers in Robotics and AI},
	volume = {9},
	year = {2022},
	month = {10/2022},
	publisher = {Frontiers},
	abstract = {In this work, we argue that the search for Artificial General Intelligence should start from a much lower level than human-level intelligence. The circumstances of intelligent behavior in nature resulted from an organism interacting with its surrounding environment, which could change over time and exert pressure on the organism to allow for learning of new behaviors or environment models. Our hypothesis is that learning occurs through interpreting sensory feedback when an agent acts in an environment. For that to happen, a body and a reactive environment are needed. We evaluate a method to evolve a biologically- inspired artificial neural network that learns from environment reactions named Neuroevolution of Artificial General Intelligence, a framework for low-level artificial general intelligence. This method allows the evolutionary complexification of a randomly-initialized spiking neural network with adaptive synapses, which controls agents instantiated in mutable environments. Such a configuration allows us to benchmark the adaptivity and generality of the controllers. The chosen tasks in the mutable environments are food foraging, emulation of logic gates, and cart-pole balancing. The three tasks are successfully solved with rather small network topologies and therefore it opens up the possibility of experimenting with more complex tasks and scenarios where curriculum learning is beneficial.},
	doi = {10.3389/frobt.2022.1007547},
	url = {https://www.frontiersin.org/articles/10.3389/frobt.2022.1007547/full},
	author = {Pontes-Filho, Sidney and Olsen, Kristoffer and Yazidi, Anis and Riegler, Michael and Halvorsen, P{\r a}l and Nichele, Stefano}
}
@inproceedings {pontes2021deep,
	title = {A Deep Learning-Based Tool for Automatic Brain Extraction from Functional Magnetic Resonance Images of Rodents},
	journal = {Proceedings of SAI Intelligent Systems Conference},
	year = {2021},
	pages = {549{\textendash}558},
	publisher = {Springer},
	author = {Pontes-Filho, Sidney and Annelene Gulden {Dahl} and Nichele, Stefano}
}
@inproceedings {pontes2020evodynamic,
	title = {EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality},
	journal = {International Conference on the Applications of Evolutionary Computation (Part of EvoStar)},
	year = {2020},
	pages = {133{\textendash}148},
	publisher = {Springer},
	address = {Cham},
	author = {Pontes-Filho, Sidney and Lind, Pedro and Yazidi, Anis and Zhang, Jianhua and Hugo Lewi {Hammer} and Gustavo BM {Mello} and Sandvig, Ioanna and Tufte, Gunnar and Nichele, Stefano}
}
@article {pontes2020neuro,
	title = {A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality},
	journal = {Cognitive Neurodynamics},
	volume = {14},
	year = {2020},
	pages = {1{\textendash}18},
	publisher = {Springer},
	url = {https://doi.org/10.1007/s11571-020-09600-x},
	author = {Pontes-Filho, Sidney and Lind, Pedro and Yazidi, Anis and Zhang, Jianhua and Hugo Lewi {Hammer} and Gustavo BM {Mello} and Sandvig, Ioanna and Tufte, Gunnar and Nichele, Stefano}
}
