Measurement of Accounting Information Accessibility and Understandability based on Distance of Information-state Transition Theory

With the advent of the era of big data, the problem of information selection and decision efficiency becomes more and more important under the network environment. Accounting information is an important economic information resource, but it has been facing the dilemma between the usefulness and useable. Based on the theory of Distance of Information-state Transition, this paper describes several concepts related to information distance, discusses key issues such as target state information, state chain, transition probability, measurement rules and determine standards, analyzes the influence of information retrieval, social tagging, recommendation system and information navigation on information distance. Based on the measurement of accounting information acquisition and knowledge acquisition, this paper studies the optimization of information distance in the network environment, which provides theoretical support and practical reference for the realization of effective accounting information utilization and information architecture

Quantum information distance

In this paper, we give a definition for quantum information distance. In the classical setting, information distance between two classical strings is developed based on classical Kolmogorov complexity. It is defined as the length of a shortest transition program between these two strings in a universal Turing machine. We define the quantum information distance based on Berthiaume et al.’s quantum Kolmogorov complexity. The quantum information distance between qubit strings is defined as the length of the shortest quantum transition program between these two qubit strings in a universal quantum Turing machine. We show that our definition of quantum information distance is invariant under the choice of the underlying quantum Turing machine.

Social Distance Into Factual Information Distance about COVID-19 in Indonesia Whatsapp Groups

WhatsApp has become a forum for communication and information related to the COVID-19 pandemic, so there are messages that ignore the identification and validation of news facts. This creates an information gap on WhatsApp. This study aims to analyze the form of information gaps related to information on the COVID-19 pandemic in Indonesia shared by WhatsApp group users. This research uses quantitative research methods, with data collection techniques through documentation of text messages and pictures, as well as the results of a survey conducted on WhatsApp group users. The results of this research indicate that the information gap in reporting the COVID-19 pandemic occurs due to information gaps in the form of uncertainty, strong beliefs and opportunities to choose information and decisions to choose information values. The substance of this research contributes in the form of new policy recommendations in assessing information gaps in social media by validating the truth of the facts in each message received and shared to another users.

Entropic Integrated Information Theory-Theory of Consciousness

In this paper I am going to give a mathematical theory of Integrated Information Theory, using entropy as measure of information and hence, as the information distance function. Also, we will consider a set, whose open subsets are mechanisms and topology is the system, we use these two modification in the structure of Integrated Information Theory [2] and Quantum Integrated Information theory [3], to define Entropic Integrated Information Theory, we will also justify our claims to use why entropy should be use as a measure of cause/effect information and as information distance function using [1]. We will also see the relationship of entanglement with concept and conceptual information. This paper is an attempt to binds consciousness, quantum information, entanglement and quantum mechanics together.

Digital technologies as a means of improving the quality of additional professional education during and after the pandemic

The COVID-19 coronavirus Pandemic has affected existing education systems around the world. In connection with the transition to distance education, it is important to assess the main opportunities, prospects and problems. Describes the current trend in creating a digital educational environment. The introduction of the latest information technologies helps to manage a number of disadvantages of the traditional way of learning. Disadvantages and difficulties in online learning and information (distance) educational technologies are also considered, as well as their positive aspects. The main task is to identify this form of education as a means of obtaining quality education in the field of additional professional education, to assist in solving the problems of teachers of secondary vocational education that arise in the process of transition to training using information (distance) educational technologies. The current directions and topics of advanced training courses are offered, implemented using the Moodle e-learning system, used on the basis of the Educational and instructional center for railway transportation. Also represented are organizations that cooperate with the Federal state educational institution Educational and instructional center for railway transportation in the process of preparing new training programs and electronic educational content. New programs are being developed and new directions for further professional education are being considered.

Some Dissimilarity Measures of Branching Processes and Optimal Decision Making in the Presence of Potential Pandemics

We compute exact values respectively bounds of dissimilarity/distinguishability measures–in the sense of the Kullback-Leibler information distance (relative entropy) and some transforms of more general power divergences and Renyi divergences–between two competing discrete-time Galton-Watson branching processes with immigration GWI for which the offspring as well as the immigration (importation) is arbitrarily Poisson-distributed; especially, we allow for arbitrary type of extinction-concerning criticality and thus for non-stationarity. We apply this to optimal decision making in the context of the spread of potentially pandemic infectious diseases (such as e.g., the current COVID-19 pandemic), e.g., covering different levels of dangerousness and different kinds of intervention/mitigation strategies. Asymptotic distinguishability behaviour and diffusion limits are investigated, too.