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Living machinesA handbook of research in biomimetics and biohybrid systems$
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Tony J. Prescott, Nathan Lepora, and Paul F.M.J Verschure

Print publication date: 2018

Print ISBN-13: 9780199674923

Published to Oxford Scholarship Online: June 2018

DOI: 10.1093/oso/9780199674923.001.0001

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Pattern generation

Pattern generation

(p.218) Chapter 24 Pattern generation
Living machines

Holk Cruse

Malte Schilling

Oxford University Press

The faculty to generate patterns is a basic feature of living systems. This chapter concentrates on patterns used in the context of control of behavior. Spatio-temporal patterns appear as quasi-rhythmic patterns mainly in the domain of locomotion (e.g. swimming, flying, walking). Such patterns may be rooted directly in the nervous system itself, or may emerge in interaction with the environment. The examples given show simulation of the corresponding behaviors that in most cases are applied to robots (e.g. walking in an unpredictable environment). In addition, non-rhythmic patterns will be explained which are linked to internal states and are required to select specific behaviors and control behavioral sequences. Such states may be relevant for top-down attention and may or may not be accompanied with subjective experiences, then called mind patterns. Specific cases concern the application of an internal body model, as well as states characterized as cognitive or as conscious.

Keywords:   spatio-temporal patterns, quasi-rhythmic patterns, locomotion, Walknet, behavioral sequences, body model, mind patterns, internal states, cognition, consciousness

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