Applications of multi-agent slime mould computing. Issue 5 (2nd September 2016)

• Record Type: Journal Article
• Authors: Jones, Jeff
• Is Part Of: International journal of parallel, emergent and distributed systems. Volume 31:Issue 5(2016)
• Page Start: 420
• Page End: 449
• Publication Date: 2016-09-02
• Subjects: Physarum polycephalum -- multi-agent -- unconventional computation -- material computation -- spatial computing; Parallel computers -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Computer algorithms -- Periodicals; 004.35
• DOI: 10.1080/17445760.2015.1085535
• Languages: English
• ISSNs: 1744-5760

Abstract

Abstract : The giant single-celled slime mould Physarum polycephalum has inspired rapid developments in unconventional computing substrates since the start of this century. This is primarily due to its simple component parts and the distributed nature of the 'computation' which it approximates during its growth, foraging and adaptation to a changing environment. Slime mould functions as a living embodied computational material which can be influenced (or programmed ) by the placement of external stimuli. The goal of exploiting this material behaviour for unconventional computation led to the development of a multi-agent approach to the approximation of slime mould behaviour. The basis of the model is a simple dynamical pattern formation mechanism which exhibits self-organised formation and subsequent adaptation of collective transport networks. The system exhibits emergent properties such as relaxation and minimisation and it can be considered as a virtual computing material, influenced by the external application of spatial concentration gradients. In this paper we give an overview of this multi-agent approach to unconventional computing. We describe its computational mechanisms and different generic application domains, together with concrete example applications of material computation. We examine the potential exploitation of the approach for computational geometry, path planning, combinatorial optimisation, data smoothing and statistical applications.