Monotone Control of R Systems

Yako, Ryutaro; Ise, Daihei; Komiya, Ken; Fujimoto, Kenzo; Kobayashi, Satoshi

doi:10.1007/s00354-022-00166-2

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“…On the other hand, Boolean networks [4] are known as a model of the network of logic gates and their learning has been studied, e.g., in [5], but it also differs from learning by providing external inputs. Moreover, there are a number of results on molecular computing, e.g., on molecular logic gates [7][8][9][10] and molecular computer [11], whereas they are not for classical conditioning.…”

Section: Introductionmentioning

confidence: 99%

Networks of Classical Conditioning Gates and Their Learning

Azuma,

Takakura,

Ariizumi

et al. 2024

New Gener. Comput.

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A research project on chemical AI, called the Molecular Cybernetics Project, was launched in Japan in 2021 with the goal of creating a molecular machine that can learn a type of conditioned reflex through the process of classical conditioning. In this project, we have developed a learning method for the network of such learning molecular machines, which is reported in this paper. First, as a model of a learning molecular machine, we formulate a logic gate that can learn conditioned reflex and introduce the network of the logic gates. Then we derive a key principle for learning, called the flipping principle, by which we present a learning algorithm for the network to realize a desired function.

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