Mind Theory and the Role of Financial Decision and Process Role of Optogenetics
This paper is devoted to the study of functional relationships between behavioural finance, in particular when making decisions in the financial market, and the theory of reason and optogenetics. The purpose of this paper is to analyze the interaction of financial decision-making processes with the...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
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Academic Research and Publishing UG
2020-04-01
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| Series: | Financial Markets, Institutions and Risks |
| Subjects: | |
| Online Access: | https://armgpublishing.com/wp-content/uploads/2020/04/3-2.pdf |
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| Summary: | This paper is devoted to the study of functional relationships between behavioural finance, in particular when making decisions in the financial market, and the theory of reason and optogenetics. The purpose of this paper is to analyze the interaction of financial decision-making processes with the key principles of the mental state model (theory of mind) and define the role of optogenetics. The author notes that the use of the theory of reason in behavioural finance allows to consider the key characteristics of the mental state of the subject of economic relations (thoughts, perceptions, desires, intentions, feelings have an internal mentalistic and experimental content). The author notes that decision-making at any level characterizes the complex network of scientific industries that allow us to understand the complexity of financial decision-making and the role and significance of the laws of thermodynamics and entropy. Modelling neural networks (based on the experimental approach), the paper presents the results of research in the context of analyzing behavioural changes in our brain under the following scenarios: at the stage of awareness of certain processes; if we participate (or do not) participate in these processes. The following conclusions are made in the paper: for the normal states of anxiety, the greatest number of possible configurations of interactions between brain networks, which represent the highest values of entropy is characteristic. These results are obtained from the study of a small number of participants in the experiment, but give an objective assessment and understanding of the complexity of the research and the guidance that include a scientific basis in the process of solving problems in the financial sphere (as an example: when trading in the financial market). |
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| ISSN: | 2521-1250 2521-1242 |