Mental systems represent realities, particularly, our utilities, have varying effectiveness with respect to our goals and are processed to support utilization and gaining the benefits from the utilities. Classifying mental systems are effective with respect to the goals to the extent to which they provide appropriate utilities regularly, i.e. are modeling the utilities constructively and adequately. In the paper we specify ontological, constructive and systemic models of mental systems comparable by expressiveness with algorithms and natural languages providing arguments of their adequacy for explaining, understanding and human-computer interactions.
Mental systems represent realities, particularly, our utilities, have varying effectiveness with respect to our goals and are processed to support utilization and gaining the benefits from the utilities. Classifying mental systems are effective with respect to the goals to the extent to which they provide appropriate utilities regularly, i.e. are modeling the utilities constructively and adequately. In the paper we specify ontological, constructive and systemic models of mental systems comparable by expressiveness with algorithms and natural languages providing arguments of their adequacy for explaining, understanding and human-computer interactions.
oai:noad.sci.am:135793
Institute for Informatics and Automation Problems ; Division of Computational and Cognitive networks
11th International Conference on Computer Science and Information Technologies CSIT 2017
Mar 3, 2021
Jul 16, 2020
19
https://noad.sci.am/publication/149320
Edition name | Date |
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Edward Pogossian, Towards Adequate Constructive Models of Mental Systems | Mar 3, 2021 |
Pogossian Edward
Pogossian Edward
Pogossian Edward Grigoryan Sedrak Hakobyan Nairi
Pogossian Edward