Abstract

Following the earlier works about dialectical logic K-model by the author, in this succeed paper author described the three problems : the first is that discrete time dynamical sampling system to solve which the true-value function is unknown and need discrete time dynamical sampling system to obtain a series of sampled discrete time true-value function points to predict the continuous true-value function or we need some properties of true value function in the frequency domain, a several formulas for true-value function of single-dimensional logic variable via discrete Fourier transformation are explained; the second is the graph expression and matrices expression for the multidimensional logic variables in dialectical logic K-model. Multidimensional logic variable is important that can be used in multidimensional contradictions and in multiple-person games. In fact, author also described the graph $G_K^p$ and corresponding matrices of the multidimensional logic variables; the third is the machine oriented database, associated database i.e. ADB, this is a new database for artificial intelligence, in present paper author describes theoretical properties and some features of ADB.

Highlights

  • IntroductionIn order to make the machine have an ability to thinking and reasoning with dialectical logic established by Hegel (Bencivenga, E. 2000; Kosko, M., 1966; Zhong-Kuan Zhao,2008), author has setup a mathematical model, dialectical logic K-model, for machine (Yaozhi Jiang, 2017)

  • Following the earlier works about dialectical logic K-model by the author, in this succeed paper author described the three problems : the first is that discrete time dynamical sampling system to solve which the true-value function is unknown and need discrete time dynamical sampling system to obtain a series of sampled discrete time true-value function points to predict the continuous true-value function or we need some properties of true value function in the frequency domain, a several formulas for true-value function of single-dimensional logic variable via discrete Fourier transformation are explained; the second is the graph expression and matrices expression for the multidimensional logic variables in dialectical logic K-model

  • In order to make the machine have an ability to thinking and reasoning with dialectical logic established by Hegel (Bencivenga, E. 2000; Kosko, M., 1966; Zhong-Kuan Zhao,2008), author has setup a mathematical model, dialectical logic K-model, for machine (Yaozhi Jiang, 2017)

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Summary

Introduction

In order to make the machine have an ability to thinking and reasoning with dialectical logic established by Hegel (Bencivenga, E. 2000; Kosko, M., 1966; Zhong-Kuan Zhao,2008), author has setup a mathematical model, dialectical logic K-model, for machine (Yaozhi Jiang, 2017). 2000; Kosko, M., 1966; Zhong-Kuan Zhao,2008), author has setup a mathematical model, dialectical logic K-model, for machine (Yaozhi Jiang, 2017). Author has expanded the results explained(Yaozhi Jiang., 2017) to the three problems below: the first is discrete time dynamical sampling system and single-dimensional discrete time Fourier transform to single-dimensional dialectical logic variable; the second is graph expression and matrices expression of multidimensional logic variable, and the third is a series properties and definitions for associated database(ADB)

The Discrete Time Dynamical Sampling System
The definition for multidimensional logic variable
Kirchhoff’s power-function law
In the graph
The Definitions of Power Function Matrix p KE
Information and Unprocessed Information
Memory by Machine
Data Model Features for Machine Oriented Database
The communication Inter-Machine
Conclusion

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