A General Addiction Model Based on the Theory of Demand Degree—Taking the Simulation of Cigarette Addiction through Artificial Intelligence as an Example

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Xu Liu, Liping Zhou

Abstract

As one of the mathematical results of the theory of value philosophy, the theory of demand degree can propose a new interpretation model for addiction. The theory of demand degree believes that human demands can be divided into two types, namely, the demand amount and the demand degree, and the equilibrium point of the demand degree constitutes the main basis for people to compare different types of demands and calculate the demand amount. The addiction model based on the theory of demand degree believes that addiction should have two basic conditions: firstly, the unit addictive substance is of great value to the subject, and it is the reason for the brain reward mechanism in the addiction; secondly, an addiction index is constructed, and only when the addiction index is greater than 0, the subject has the possibility for addiction. The construction of addiction index provides a standard for examining whether a certain substance can make people addicted. Converting the relevant formulas of the addiction model into artificial intelligence codes enables artificial intelligence to simulate the phenomenon of addiction. According to the change in the indicator light on the MCU development board, it is possible to judge whether the artificial intelligence chooses to load cigarettes or charge, and simulate the cigarette addiction when the addiction index is 1. The results of simulating addiction through artificial intelligence are generally consistent with the general situation of addiction, especially cigarette addiction. This indicates that the addiction model has great rationality and universality, and further indicates that without considering the harmfulness of the addictive substance, addiction is not necessarily a disease, but may just be a normal response of the human demand system to the addictive substance.

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