Computational Foundations of the Anticipatory Artificial Autopoietic Cellular Automata

Author(s):  
Daniel M. Dubois ◽  
Stig C. Holmberg

A survey of the Varela automata of autopoiesis is presented. The computation of the Varela program, with initial conditions given by a living cell, is not able to self-maintain the membrane of the living cell. In this chapter, the concept of anticipatory artificial autopoiesis (AAA) is introduced. In this chapter, the authors present a new algorithm of the anticipatory artificial autopoiesis, which extend the Varela automata. The main enhancement consists in defining an asymmetric membrane of the artificial lining cell. The simulations show the anticipatory generation of artificial living cells starting with any initial conditions. The new concept of anticipatory artificial autopoiesis is related to artificial life (Alife) and artificial intelligence (AI). This is a breakthrough in the computational foundation of autopoiesis.

The chapter presents software that implements models of asynchronous cellular automata with a variable set of active cells. The software is considering one of the modifications of the game Conway “Life”. In the proposed model “New Life,” the possibility of functioning of a separate “living” cell is realized, which, when meeting with other “living” cells, participates in the “birth” of new “living” cells with a different active state. Each active state is determined by a code that is formed by the state values of the cells of the neighborhood. Variants of the evolution of the universe based on the surroundings of von Neumann and Moore are considered. This program uses restrictions on the number of “born” cells in order to limit the overpopulation of the universe. Possible goals and objectives to be solved in the use of “New Life” are also considered.


RSC Advances ◽  
2021 ◽  
Vol 11 (31) ◽  
pp. 18898-18914
Author(s):  
Katsuhiko Ariga ◽  
Rawil Fakhrullin

We can introduce functional structures with various components on a living cell as if architectures were constructed on material surfaces.


2010 ◽  
Vol 5 (1) ◽  
pp. 90-96
Author(s):  
Aleksandr V. Kopylov ◽  
Viktor Ya. Prinz

The possibility of application of the novel class of tubular needles for piercing cells and injecting biological material inside the cell is considered. Stability calculations of tubular (multiwall) needles were made. Calculations were made for the needles with walls formed from hybrid graphene-semiconductor or graphene structures and spires shaped as trapeziform open cylindrical shells. The possibility of mass fabrication of such needles and chips for AFM significantly broadens the range of available operations on the surface and inside the living cell and opens prospects of effective high-precision manipulations with individual cells.


2012 ◽  
pp. 1314-1329
Author(s):  
Giovanni Vincenti ◽  
James Braman

Emotions influence our everyday lives, guiding and misguiding us. They lead us to happiness and love, but also to irrational acts. Artificial intelligence aims at constructing agents that can emulate thinking processes, but artificial life still lacks emotions and all the consequences that come from them. This work introduces an emotionally aware framework geared towards multi-agent societies. Basing our model on the shoulders of solid foundations created by pioneers who first explored the coupling of emotions and agency, we extend their ideas to include inter-agent interaction and virtual genetics as key components of an agent’s emotive state. We also introduce possible future applications of this framework in consumer products as well as research endeavors.


Nanoscale ◽  
2020 ◽  
Vol 12 (16) ◽  
pp. 9133-9143 ◽  
Author(s):  
Pablo D. Garcia ◽  
Carlos R. Guerrero ◽  
Ricardo Garcia

Method to measure the viscoelastic properties of a living cell by AFM-based force–distance curves.


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