Artificial Chemistry by Sound Waves

Yasuhiro Suzuki

doi:10.5954/icarob.2017.os17-3

Abstract

Artificial Chemistry by Sound Waves

Highlights

Living systems are composed of chemical reactions; almost all interactions in living systems are chemical reactions
Abstract model of chemical reactions have been proposed and such Artificial Chemistry, AC has been used as a method of describing interactions for modeling; Multi Agent Systems, Petri Nets, etc. and the reactions
In the system, which we propose in this paper, Neural Network, NN is implemented by using ARMS; NN in this paper is Self-Reinforcement Neural Network, SRNN, which we have been proposed; in SRNN, we assumes that substances can interact with each other according to reaction rules which change the amounts of the substance, and that reaction tendencies change depending on the reaction history

Summary

Introduction

Living systems are composed of chemical reactions; almost all interactions in living systems are chemical reactions. Since living systems are composed of bio-chemical multiset by denoting the same alphabet in its number of reactions, information processing are chemical. A reaction rule l → r, l, r ∈ A# is described as a pair of multiset likewise chemical equations or a pair of its vector expression; and in some case, we can describe a reaction rule as a vector r, r = −l + r, it is simple and good for examining the dynamics of an ARMS, but this description can not illustrate when there are the same species of element in the left-hand side and right-hand synthesizing W1 and W2: and inclusion of Wi is W1(a) ≤ W2(a) for all a ∈ A, the W1 is included in W2 and we write W1 ⊆ W2. A reaction is described as the rewriting of a multiset, if the left-hand side of a reaction rule is included in a mul- tiset, these elements in the multiset are excluded and the right-hand side of the rule is merged to the multiset; the case when the multiset is a, a, b, b and the reaction rule is a, b → c, d, the left-hand side of the rule is included in the multiset, {a, b} ⊆ {a, a, b, b} so the {a, b} is excluded from the multiset and it is transformed to {a, b} and the left-hand side of the rule

Neural Networks implemented by ARMS

Communicating with ARMS via waves

Communicate with SRNN via Sound Waves

Future Remarks