TY - GEN
T1 - Spontaneous evolution of command neurons, place cells and memory mechanisms in autonomous agents
AU - Aharonov-Barki, Ranit
AU - Beker, Tuvik
AU - Ruppin, Eytan
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.
PY - 1999
Y1 - 1999
N2 - Using evolutionary simulations, we develop autonomous agents controlled by artificial neural networks (ANNs). In simple life-like tasks of foraging and navigation, high performance levels are attained by agents equipped with fully-recurrent ANN controllers. Examining several experimental settings, differing in the sensory input available to the agents, we find a common structure of a “command neuron” switching the dynamics of the network between radically different behavioural modes. In some of the models the command neuron reflects a map of the environment, acting as a “place cell”. In others it is based on a spontaneously evolving short-term memory mechanism. The resemblance to known findings from neurobiology places Evolved ANNs as an excellent candidate model for the study of structure and function relation in complex nervous systems.
AB - Using evolutionary simulations, we develop autonomous agents controlled by artificial neural networks (ANNs). In simple life-like tasks of foraging and navigation, high performance levels are attained by agents equipped with fully-recurrent ANN controllers. Examining several experimental settings, differing in the sensory input available to the agents, we find a common structure of a “command neuron” switching the dynamics of the network between radically different behavioural modes. In some of the models the command neuron reflects a map of the environment, acting as a “place cell”. In others it is based on a spontaneously evolving short-term memory mechanism. The resemblance to known findings from neurobiology places Evolved ANNs as an excellent candidate model for the study of structure and function relation in complex nervous systems.
UR - http://www.scopus.com/inward/record.url?scp=35048902442&partnerID=8YFLogxK
U2 - 10.1007/3-540-48304-7_31
DO - 10.1007/3-540-48304-7_31
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AN - SCOPUS:35048902442
SN - 3540664521
SN - 9783540664529
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 246
EP - 255
BT - Advances in Artificial Life - 5th European Conference, ECAL 1999, Proceedings
A2 - Floreano, Dario
A2 - Nicoud, Jean-Daniel
A2 - Mondada, Francesco
PB - Springer Verlag
T2 - 5th European Conference on Artificial Life, ECAL 1999
Y2 - 13 September 1999 through 17 September 1999
ER -