PhilSci Archive

Morphological Computation: Nothing but Physical Computation

Miłkowski, Marcin (2018) Morphological Computation: Nothing but Physical Computation. Entropy, 20 (12). p. 942. ISSN 1099-4300

[img]
Preview
Text
Miłkowski - 2018 - Morphological Computation Nothing but Physical Co.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (1MB) | Preview
[img] Other (Plain Text Bibliography)
bibliography.txt - Bibliography

Download (10kB)

Abstract

The purpose of this paper is to argue against the claim that morphological computation is substantially different from other kinds of physical computation. I show that some (but not all) purported cases of morphological computation do not count as specifically computational, and that those that do are solely physical computational systems. These latter cases are not, however, specific enough: all computational systems, not only morphological ones, may (and sometimes should) be studied in various ways, including their energy efficiency, cost, reliability, and durability. Second, I critically analyze the notion of “offloading” computation to the morphology of an agent or robot, by showing that, literally, computation is sometimes not offloaded but simply avoided. Third, I point out that while the morphology of any agent is indicative of the environment that it is adapted to, or informative about that environment, it does not follow that every agent has access to its morphology as the model of its environment.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Miłkowski, Marcin0000-0001-7646-5742
Keywords: morphological computation, physical computation
Subjects: Specific Sciences > Computation/Information
Depositing User: Dr. Marcin Miłkowski
Date Deposited: 05 Jan 2019 18:36
Last Modified: 05 Jan 2019 18:36
Item ID: 15553
Journal or Publication Title: Entropy
Official URL: http://doi.org/10.3390/e20120942
DOI or Unique Handle: https://doi.org/10.3390/e20120942
Subjects: Specific Sciences > Computation/Information
Date: 2018
Page Range: p. 942
Volume: 20
Number: 12
ISSN: 1099-4300
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/15553

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Altmetric.com

Actions (login required)

View Item View Item