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Abstract

The Special Issue contains the selected articles presented at the 15th International Conference on the Simulation of Adaptive Behavior (SAB 2018). The conference took place during August 2018 in Frankfurt, Germany. The articles introduce different aspects of closed-loop dynamic computations for adaptive behavior in artificial agents. The aspects cover a range of adaptive behavior research from morphological computation to brain-body-environment interactions, nature-inspired special perception, and closed-loop online learning. SAB is a biennial conference; its next incarnation will be during September 2020, in Paris. If the papers in this issue inspire you, please consider submitting your work to the 2020 conference—who knows, next time it may be your paper in the Special Issue.

Keywords

Embodied artificial intelligence bio-inspired perception body environment interaction deep learning morphological computation locomotion control

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References

Brooks

(1991). New approaches to robotics. Science, 253, 1227–1232. https://doi.org/10.1126/science.253.5025.1227

Eckert

Schmerbauch

A. E.

Horvat

Söhnel

Fischer

M. S.

Witte

Ijspeert

A. J.

(2020). Towards rich motion skills with the lightweight quadruped robot Serval. Adaptive Behavior, 28, 129–150. https://doi.org/10.1177/1059712319853227

Fukuhara

Koizumi

Suzuki

Kano

Ishiguro

(2020). Decentralized control mechanism for body–limb coordination in quadruped running. Adaptive Behavior, 28, 151–164. https://doi.org/10.1177/1059712319865180

Manoonpong

Tetzlaff

(2018). Neural computation in embodied closed-loop systems for the generation of complex behavior: From biology to technology. Frontiers in Neurorobotics, 12, Article 53. https://doi.org/10.3389/978-2-88945-605-5

O’Brien

M. J.

Arkin

R. C.

(2020). Adapting to environmental dynamics with an artificial circadian system. Adaptive Behavior, 28, 165–179. https://doi.org/10.1177/1059712319846854

Pfeifer

Lungarella

Iida

. (2007). Self-organization, embodiment, and biologically inspired robotics. Science, 318, 1088–1093. https://doi.org/10.1126/science.1145803

Porr

Miller

(2019). Forward propagation closed loop learning. Adaptive Behavior, 28, 181–194. https://doi.org/10.1177/1059712319851070

Closed-loop dynamic computations for adaptive behavior (articles based on SAB2018 conference)

Abstract

Keywords

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References