Object

Title: Constructing Adequate Mental Models ; К построению адекватных мыслительных моделей

Abstract:

Mental systems represent realities, have varying effectiveness with respect to our goals and are processed to support utilization and gain benefits from utilities. Classifiers induced by mental systems are effective with respect to the goals insofar as regularly provide utilities and enhance effectiveness of modeling of those utilities constructively and adequately. In the paper we discuss ontological, constructive and systemic models of mental systems, mentals, comparable by expressiveness with algorithms and natural languages, provide arguments of their adequacy for explaining, understanding and human-computer interactions as well as convince to follow the ideas of inventors of algorithms in adequate modeling of mental behavior. To consist functional and connectivity mental models and recalling that artificial neuron nets are systems of classifiers, we provide evidence that mentals can be reduced to systems of classifiers as well.
; Исследуются онтологические конструктивные модели когнитивных систем, mentals, сравнимые по выразительности с алгоритмами и естественными языками. В частности, приведены модели обучения, объяснения и понимания при коммуникациях человек-компьютер, а также методы аргументации их адекватности. Методология построения адекватных моделей исходит из идей конструктивизации вычислимых функций алгоритмами и аргументов обоснования адекватности алгоритмов. Исходя из сводимости mentals к системам классификаторов уточняются проблемы сближения функциональных/ mentals/ и коннективистских /нейронные сети/ ментальных моделей.

Date submitted:

22.08.2018

Date accepted:

02.12.2018

Identifier:

oai:noad.sci.am:135907

DOI:

10.51408/1963-0018

ISSN:

0131-4645

Language:

English

Journal or Publication Title:

Mathematical Problems of Computer Science

Volume:

50

URL:


Additional Information:

epogossi@aua.am

Affiliation:

Institute for Informatics and Automation Problems

Country:

Armenia

Indexing:

ASCI

Object collections:

Last modified:

Mar 31, 2021

In our library since:

Jul 27, 2020

Number of object content hits:

2

All available object's versions:

https://noad.sci.am/publication/149500

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