Morphological Computation as Natural Ecosystem Service for Intelligent Technology
Paper in 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

Author

Gordana Dodig Crnkovic

Mälardalens högskola

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and 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,

Morphological Computing in Cognitive Systems (MORCOM@COGS)

Swedish Research Council (VR) (2015-05359), 2016-01-01 -- 2020-12-31.

Subject Categories

Other Computer and Information Science

Information Science

Computer Science

Areas of Advance

Information and Communication Technology

Driving Forces

Sustainable development

Innovation and entrepreneurship

Roots

Basic sciences

DOI

10.3390/proceedings2022081125

More information

Latest update

10/26/2023