Amorphous Computing

Unconventional Computing ◽

10.1007/978-1-4939-6883-1_18 ◽

2018 ◽

pp. 601-617

Author(s):

Hal Abelson ◽

Jacob Beal ◽

Gerald Jay Sussman

Keyword(s):

Amorphous Computing

Encyclopedia of Complexity and Systems Science ◽

10.1007/978-3-642-27737-5_18-3 ◽

2017 ◽

pp. 1-18

Author(s):

Hal Abelson ◽

Jacob Beal ◽

Gerald Jay Sussman

Keyword(s):

Amorphous Computing

Engineering Amorphous Computing Systems

Methodologies and Software Engineering for Agent Systems - Multiagent Systems, Artificial Societies, and Simulated Organizations ◽

10.1007/1-4020-8058-1_19 ◽

2006 ◽

pp. 303-320 ◽

Cited By ~ 11

Author(s):

Radhika Nagpal ◽

Marco Mamei

Keyword(s):

Computing Systems ◽

Amorphous Computing

Amorphous-Computing Techniques May Lead to Intelligent Materials

Computers in Physics ◽

10.1063/1.4822643 ◽

1998 ◽

Vol 12 (6) ◽

pp. 520

Author(s):

Harold Abelson ◽

Nancy Forbes

Keyword(s):

Intelligent Materials ◽

Amorphous Computing

Amorphous computing: a research agenda for the near future

Natural Computing ◽

10.1007/s11047-011-9281-x ◽

2011 ◽

Vol 11 (1) ◽

pp. 59-63 ◽

Cited By ~ 2

Author(s):

Jiří Wiedermann

Keyword(s):

Research Agenda ◽

Amorphous Computing ◽

Near Future

Toward Hybrid Nanostructure-Slime Mould Devices

Nano LIFE ◽

10.1142/s179398441450007x ◽

2015 ◽

Vol 05 (01) ◽

pp. 1450007 ◽

Cited By ~ 20

Author(s):

Richard Mayne ◽

Andrew Adamatzky

Keyword(s):

Imaging Techniques ◽

Bioelectrical Activity ◽

Unconventional Computing ◽

Slime Mould ◽

Amorphous Computing ◽

Electrophysiological Measurements ◽

Active Nanoparticles ◽

Circuit Components ◽

Significant Attention

The plasmodium of slime mould Physarum polycephalum has recently received significant attention for its value as a highly malleable amorphous computing substrate. In laboratory-based experiments, nanoscale artificial circuit components were introduced into the P. polycephalum plasmdodium to investigate the electrical properties and computational abilities of hybridized slime mould. It was found through a combination of imaging techniques and electrophysiological measurements that P. polycephalum is able to internalize a range of electrically active nanoparticles (NPs), assemble them in vivo and distribute them around the plasmodium. Hybridized plasmodium is able to form biomorphic mineralized networks inside the living plasmodium and the empty trails left following its migration, both of which facilitate the transmission of electricity. Hybridization also alters the bioelectrical activity of the plasmodium and likely influences its information processing capabilities. It was concluded that hybridized slime mould is a suitable substrate for producing functional unconventional computing devices.

Clustering Microarray Data Within Amorphous Computing Paradigm and Growing Neural Gas Algorithm

Advances in Applied Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/11779568_87 ◽

2006 ◽

pp. 809-818 ◽

Cited By ~ 1

Author(s):

S. Chelloug ◽

S. Meshoul ◽

M. Batouche

Keyword(s):

Microarray Data ◽

Growing Neural Gas ◽

Neural Gas ◽

Amorphous Computing ◽

Computing Paradigm ◽

Growing Neural Gas Algorithm

Self-Healing Structures in Amorphous Computing

Unifying Themes in Complex Systems ◽

10.1007/978-3-540-35866-4_32 ◽

2007 ◽

pp. 325-335 ◽

Cited By ~ 1

Author(s):

Jeremy Zucker

Keyword(s):

Self Healing ◽

Amorphous Computing

On the Universal Computing Power of Amorphous Computing Systems

Theory of Computing Systems ◽

10.1007/s00224-009-9178-6 ◽

2009 ◽

Vol 45 (4) ◽

pp. 995-1010 ◽

Cited By ~ 8

Author(s):

Jiří Wiedermann ◽

Lukáš Petrů

Keyword(s):

Computing Systems ◽

Computing Power ◽

Amorphous Computing

EMBODIED COMPUTATION

Parallel Processing Letters ◽

10.1142/s0129626407003022 ◽

2007 ◽

Vol 17 (03) ◽

pp. 287-298 ◽

Cited By ~ 10

Author(s):

HEIKO HAMANN ◽

HEINZ WÖRN

Keyword(s):

Positional Information ◽

Von Neumann ◽

Amorphous Computing ◽

Emergent Phenomena ◽

Internal States ◽

Potential Benefits ◽

Natural Forms ◽

Standard Models ◽

Embodied Cognitive Science ◽

Von Neumann Architecture

The traditional computational devices and models, such as the von Neumann architecture or the Turing machine, are strongly influenced by concepts of central control and perfection. The standard models of computation seem to cover the reality of computation only partially and lack, in particular, in the ability to describe more natural forms of computation. In this paper we propose the concept of embodied computation, a straight forward advancement of well known concepts such as amorphous computing, emergent phenomena and embodied cognitive science. Many embodied microscopic computational devices form a single macroscopic device of embodied computation. The solution to computational problems emerges from a huge amount of local interactions. The system's memory is the sum of the positional information and possibly of the internal states. Such systems are very robust and allow different methodologies to analyze computation. To back this theoretic concept some results based on simulations are given and potential benefits of this approach are discussed.