Human Information Interaction, Artificial Intelligence, and Errors

This paper conducts in-depth research and analysis on the construction of the public information product APP application platform of urban big media in the context of artificial intelligence and discusses its development. Based on the improvement of the SICAS model, a model of enterprise and user information interaction characteristics in the new media environment is constructed, and social network analysis and semantic analysis methods are used to research enterprise and user information interaction characteristics in the new media environment. The point degree centrality index is used to analyze forwarding and being forwarded behavior in information interaction, the intermediate centrality index is used to analyze following and being followed behavior, the proximity centrality index is used to analyze commenting and being commented behavior, the feature vector centrality index is used to analyze the cohesiveness of information interaction behavior, and the semantic keyword word is used to analyze the semantic keyword word in the research process. The results of the study show that the constructed model can analyze the information interaction behaviors of enterprises and users in the new media environment. The research results show that the constructed model can systematically analyze the information interaction characteristics, and the information interaction between enterprises and users in the new media environment is more timely, more effective, and more satisfying to users. The current situation of the construction of the public information platform and the problems existing in the construction are proposed to achieve the standardization of the construction of the public information platform in the context of smart city, the construction of the platform supervision system, and the strengthening of information security publicity and talent training. To offer a suitable platform and provide efficient solutions for the development of a public information service platform in the city, enhance the professional quality of research papers and dissertations, as well as the solutions’ operability. More public services will be provided in a highly connected way across the boundaries between government, enterprises, society, and citizens and even form a public service market that accepts autonomous choices and becomes an important part of the digital economy, thus finding a good balance between economic development and social welfare.

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Experimental Verification of General Validity of Non-Force (Information) Interaction Formula

10.21203/rs.3.rs-138538/v3 ◽

2021 ◽

Author(s):

Iurii Teslia

Keyword(s):

Artificial Intelligence ◽

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Computer Experiments ◽

Material Objects ◽

Force Interaction ◽

General Validity ◽

Information Handling ◽

Information Interaction

Abstract The work is devoted to the demonstration of the possibility of applying the formulas of information handling obtained in the theory of non-force interaction for the natural language processing. These formulas were obtained in computer experiments in modelling the movement and interaction of material objects by changing the amount of information that triggers this movement. The hypothesis, objective and tasks of the experimental research were defined. The methods and software tools were developed to conduct the experiments. To compare different results of the simulation of the processes in a human brain during speech production, there was a range of methods proposed to calculate the estimate of sequence of fragments of natural language texts including the methods based on linear approximation. The experiments confirmed that the formulas of information handling obtained in the theory of non-force interaction reflect the processes of language formation. It is shown that the offered approach can successfully be used to create systems of reactive artificial intelligence machines. Experimental and, presented in this work, practical results constitute that the non-force (informational) interaction formulae are generally valid.

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Experimental Verification of the Theory of Non-Force (Information) Interaction

10.21203/rs.3.rs-138538/v4 ◽

2021 ◽

Author(s):

Iurii Teslia

Keyword(s):

Artificial Intelligence ◽

Natural Language Processing ◽

Natural Language ◽

Human Brain ◽

Language Processing ◽

Computer Experiments ◽

Material Objects ◽

Force Interaction ◽

Information Handling ◽

Information Interaction

Abstract The work is devoted to the demonstration of the possibility of applying the formulas of information handling obtained in the theory of non-force interaction for the natural language processing. These formulas were obtained in computer experiments in modelling the movement and interaction of material objects by changing the amount of information that triggers this movement. The hypothesis, objective and tasks of the experimental research were defined. The methods and software tools were developed to conduct the experiments. To compare different results of the simulation of the processes in a human brain during speech production, there was a range of methods proposed to calculate the estimate of sequence of fragments of natural language texts including the methods based on linear approximation.The experiments confirmed that the formulas of information handling obtained in the theory of non-force interaction reflect the processes of language formation. It is shown that the offered approach can successfully be used to create systems of reactive artificial intelligence machines. Experimental and, presented in this work, practical results constitute that the non-force (informational) interaction formulae are generally valid.

Download Full-text