Representation of shape mediated by environmental stimuli in Physarum polycephalum and a multi-agent model

Jones, Jeff; Mayne, Richard; Adamatzky, Andrew

Abstract

© 2015 Taylor & Francis. The slime mould Physarum polycephalum is known to construct protoplasmic transport networks which approximate proximity graphs by foraging for nutrients during its plasmodial life cycle stage. In these networks, nodes are represented by nutrients and edges are represented by protoplasmic tubes. These networks have been shown to be efficient in terms of length and resilience of the overall network to random damage. However, relatively little research has been performed in the potential for Physarum transport networks to approximate the overall shape of a data-set. In this paper we distinguish between connectivity and shape of a planar point data-set and demonstrate, using scoping experiments with plasmodia of P. polycephalum and a multi-agent model of the organism, how we can generate representations of the external and internal shapes of a set of points. As with proximity graphs formed by P. polycephalum, the behaviour of the plasmodium (real and model) is mediated by environmental stimuli. We further explore potential morphological computation approaches with the multi-agent model, presenting methods which approximate the Convex Hull and the Concave Hull. We demonstrate how a growth parameter in the model can be used to transition between Convex and Concave Hulls. These results suggest novel mechanisms of morphological computation mediated by environmental stimuli.

Citation

Jones, J., Mayne, R., & Adamatzky, A. (2017). Representation of shape mediated by environmental stimuli in Physarum polycephalum and a multi-agent model. International Journal of Parallel, Emergent and Distributed Systems, 32(2), 166-184. https://doi.org/10.1080/17445760.2015.1044005

• Journal Article Type: Article
• Acceptance Date: Apr 20, 2015
• Publication Date: Mar 4, 2017
• Deposit Date: Aug 25, 2015
• Publicly Available Date: May 28, 2016
• Journal: International Journal of Parallel, Emergent and Distributed Systems
• Print ISSN: 1744-5760
• Electronic ISSN: 1744-5779
• Publisher: Taylor & Francis
• Peer Reviewed: Peer Reviewed
• Volume: 32
• Issue: 2
• Pages: 166-184
• DOI: https://doi.org/10.1080/17445760.2015.1044005
• Keywords: Physarum polycephalum, morphological adaptation, unconventional computation, convex hull, concave hull
• Public URL: https://uwe-repository.worktribe.com/output/897759
• Publisher URL: http://dx.doi.org/10.1080/17445760.2015.1044005
• Additional Information: Additional Information : This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Parallel, Emergent and Distributed Systems on 28 May 2015, available online: http://wwww.tandfonline.com/10.1080/17445760.2015.1044005