Amorphous Computing

Keyword(s):  

2018 ◽  
pp. 601-617
Author(s):  
Hal Abelson ◽  
Jacob Beal ◽  
Gerald Jay Sussman
Keyword(s):  


Author(s):  
Hal Abelson ◽  
Jacob Beal ◽  
Gerald Jay Sussman
Keyword(s):  


1998 ◽  
Vol 12 (6) ◽  
pp. 520
Author(s):  
Harold Abelson ◽  
Nancy Forbes


2011 ◽  
Vol 11 (1) ◽  
pp. 59-63 ◽  
Author(s):  
Jiří Wiedermann


Nano LIFE ◽  
2015 ◽  
Vol 05 (01) ◽  
pp. 1450007 ◽  
Author(s):  
Richard Mayne ◽  
Andrew Adamatzky

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.





2009 ◽  
Vol 45 (4) ◽  
pp. 995-1010 ◽  
Author(s):  
Jiří Wiedermann ◽  
Lukáš Petrů


2007 ◽  
Vol 17 (03) ◽  
pp. 287-298 ◽  
Author(s):  
HEIKO HAMANN ◽  
HEINZ WÖRN

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.



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