Object

Title: Artificial Intelligence Methods in Predicting the Productivity of Project Teams: Transhumanism and Experience in Practical Research

Ամսագրի կամ հրապարակման վերնագիր:

Իմաստություն=Wisdom=Мудрость

Հրապարակման ամսաթիվ:

2022

Հատոր:

2

Համար:

1, Special issue

ISSN:

1829-3824 ; e-2738-2753

Պաշտոնական URL:

click here to follow the link

Համատեղ հեղինակները:

Խ․ Աբովյանի անվան հայկական պետական մանկավարժական համալսարան

Ծածկույթ:

43-50

Ամփոփում:

The article considers issues related to the use of artificial intelligence methods in the technoscience concept while moving from personnel management to human resource management using artificial intelligence elements. Authors considerthe development of human resources at the expense of cognitive-communicative resources of personnel in specific (transformed) conditions of consciousness when a syn-ergy of neurocognitively enhanced human capabilities and artificial intelligence occurs. Such situations are considered in predicting the productivity of project teamwork, characterized by various aspects: organizational, cognitive-communicative, socio-psychological, etc. It is analyzed a specific example of predictive analytics related to the assessment of future results of newly created teams (shift teams) and results that are corrected based on already existing teams (V. K. Finn‟s DSM-method of automatic hypotheses generation, as a way to organize knowledge using the non-Aristotelian structureof concepts, 2009). Some difficulties of using the shift form of labour organization are considered. The methodology for predicting the teams‟ assessment is based on the results of express diagnostics of their work on specific test cases and the general database of characteristics and results already existing successful and unsuccessful teams.

Հրատարակության վայրը:

Երևան

Հրատարակիչ:

Տիգրան Մեծ

Ձևաչափ:

pdf

Նույնացուցիչ:

oai:arar.sci.am:371136

Լեզու:

en

Object collections:

Last modified:

Apr 16, 2024

In our library since:

Mar 15, 2024

Number of object content hits:

9

All available object's versions:

https://arar.sci.am/publication/401027

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