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In the 1980s, my colleagues and I proposed microtubules acted like computers, specifically as Boolean switching matrices, or molecular automata, processing information, encoding memory, oscillating coherently and regulating neuronal functions from within.
Therefore, in Figure 4A-C, automata at different levels were proposed for future development of plantoids, namely, plantoid automata, cellular automata and molecular automata.
MAYA-III can be trained to play any strategy possible for the retributive game tit-for-tat (an example of which is shown in Figure 5a), invented explicitly for the purpose of demonstrating the ability to train molecular automata.
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The signaling events in such bio-process can be imitated by molecular quantum cellular automata (QCA) network to achieve behaviors as Boolean logic functions.
This method uses carbon nanotube (CNT) technology as well as the molecular quantum cellular automata (MQCA) technology on a graphene substrate.
Molecular quantum-dot cellular automata (mQCA) has received considerable attention in nanoscience.
Lent proposed using molecules in representing binary information within the molecular quantum-dot cellular automata (mQCA) paradigm [1, 4].
The foregoing two automata were molecular circuits hardwired to play versions of the game of tic-tac-toe.
Among these are such applications as hyperspectral dimensionality reduction [14], molecular dynamics [15, 16], and cellular automata simulations [17].
In this perspective paper, we examine how molecular controllers can be modeled as hybrid automata and how they can be realized in a molecular robot.
We have built three generations of game-playing automata, MAYA I III (originally, molecular array of YES and AND gates), in this vein.
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