Browse by author
Lookup NU author(s): Professor Rachel Armstrong
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Slimemould Physarum polycephalum is large single cell with intriguingly smart behaviour. The slime mould shows outstanding abilities to adapt its protoplasmic network to varying environmental conditions. The slime mould can solve tasks of computational geometry, image processing, logics and arithmetics when data are represented by configurations of attractants and repellents.We attempt to map behavioural patterns of slime onto the cognitive control versus schizotypy spectrum phase space and thus interpret slime mould’s activity in terms of creativity.
Author(s): Adamatzky A, Armstrong R, Jones J, Gunji Y
Editor(s): Adamatzky,A
Publication type: Book Chapter
Publication status: Published
Book Title: Advances in Physarum Machines : Sensing and Computing with Slime Mould
Year: 2016
Pages: 813-830
Print publication date: 01/01/2016
Online publication date: 01/01/2016
Acceptance date: 02/11/2015
Publisher: Springer
Place Published: Switzerland
URL: http://www.springer.com/gb/book/9783319266619
DOI: 10.1007/978-3-319-26662-6
Notes: This prize-winning essay (Elsevir) exteriorises the nature of thought and therefore tactically argues that the act of creativity - when compared to internal models of decision making - may be shared by nonhuman agents and even at the level of simple organisms with complex network structures such as slime mould.
Library holdings: Search Newcastle University Library for this item
ISBN: 9783319266619
