Object

Title: Towards Adequate Constructive Models of Mental Systems

Description:

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.

Abstract:

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.

Identifier:

oai:noad.sci.am:135793

Language:

English

URL:

click here to follow the link

Additional Information:

epogossi@aua.am

Affiliation:

Institute for Informatics and Automation Problems ; Division of Computational and Cognitive networks

Country:

Armenia

Year:

2017

Time period:

September25-29

Conference title:

11th International Conference on Computer Science and Information Technologies CSIT 2017

Place:

Yerevan

Participation type:

oral

Object collections:

Last modified:

Mar 3, 2021

In our library since:

Jul 16, 2020

Number of object content hits:

7

All available object's versions:

https://noad.sci.am/publication/149320

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