Morphological Computation as Natural Ecosystem Service for Intelligent Technology
Paper i proceeding, 2022

The basic idea of natural computing is learning from nature. The naturalist framework provides an info-computational architecture for cognizing agents, modeling living organisms as informational structures with computational dynamics. Intrinsic natural information processes can be used as
natural ecosystem services to perform resource-efficient computation, instead of explicitly controlling every step of the computational process. In robotics, morphological computing is using inherent material properties to produce behavior like passive walking or grasping. In general, morphology (structure, shape, form, material) is self-organizing into dynamic structures resulting in growth, development, and decision-making that represent processes of embodied cognition and constitute the naturalized basis of intelligent behavior.

cognition

data structures

structures

structural machine

knowledge structures

general theory of information

turing machine

knowledge

information

Författare

Gordana Dodig Crnkovic

Mälardalens högskola

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Proceedings (MDPI)

2504-3900 (ISSN)

Vol. 81 1 125-128

The 2021 Summit of the International Society for the Study of Information September 12-19, 2021
Tohoku (online), Japan,

Morfologiska beräkningar i kognitiva system (MORCOM@COGS)

Vetenskapsrådet (VR) (2015-05359), 2016-01-01 -- 2020-12-31.

Ämneskategorier

Annan data- och informationsvetenskap

Systemvetenskap

Datavetenskap (datalogi)

Styrkeområden

Informations- och kommunikationsteknik

Drivkrafter

Hållbar utveckling

Innovation och entreprenörskap

Fundament

Grundläggande vetenskaper

DOI

10.3390/proceedings2022081125

Mer information

Senast uppdaterat

2023-10-26