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Dataset Information

Counts of mechanical, external configurations compared to computational, internal configurations in natural and artificial systems.


ABSTRACT: Animal movement encodes information that is meaningfully interpreted by natural counterparts. This is a behavior that roboticists are trying to replicate in artificial systems but that is not well understood even in natural systems. This paper presents a count on the cardinality of a discretized posture space-an aspect of expressivity-of articulated platforms. The paper uses an information-theoretic measure, Shannon entropy, to create observations analogous to Moore's Law, providing a measure that complements traditional measures of the capacity of robots. This analysis, applied to a variety of natural and artificial systems, shows trends in increasing capacity in both internal and external complexity for natural systems while artificial, robotic systems have increased significantly in the

SUBMITTER: LaViers A 

PROVIDER: S-EPMC6506145 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature