Sustainable Development Model of EU Cities Compliant with UN Settings

Karnītis, Edvīns; Bičevskis, Jānis; Karnītis, Ģirts; Pukis, Maris

doi:10.3390/math9222888

“…Understanding model building should be the basis of methodology in education. The society of the future is likely to consist of a globally linked hierarchical structure of local communities which will make significant use of the opportunities created by AI to build harmonious unity between society and the world (Bičevskis, 2021;Karnitis, 2021). An optimistic future can be achieved if superintelligence is used to build a cooperative and solidarity-oriented world in a coherent manner.…”

Section: World Awareness Through Modelsmentioning

confidence: 99%

“…As the uncertainty and novelty of tasks are rapidly increasing, preparations for the evaluation of information and decision making should be increasingly used. The role of art and philosophy in education is growing as they offer means to make generalisations (Bicevskis, 2021;Damasio, 2015;Petrov, 2021;Russell, 2019). The challenges of using datasets tackled in machine learning or weak AI become much more significant on the road to strong artificial general intelligence (AGI) or superintelligence (Barrat, 2013;Bostrom, 2014;Vilks, 2013).…”

Section: Models and Modellingmentioning

confidence: 99%

Human, Technologies and Quality of Education, 2023

2023

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The aim of the study was to explore social measurements and COVID-19 -related behavioral choices from a network structure perspective. We tested network models by comparing network structures in 46 countries by cultural dimensions (Hofstede et al., 2010). The pre-registered hypothesis was that the network structure of variables predicting COVID-19-related behavioral choices will be robust across countries, regardless of the mean differences of these variables between countries characterized by high vs low culture dimension indices. Behavioural choices toward COVID-19 situation were: physical hygiene, policy support, and physical contact. In network analysis we used several social/psychological constructs: social belonging, trait optimism, collective narcissism, moral identity, self-esteem, national identification, trait self-control, morality as cooperation, conspiracy beliefs, political ideology, and narcissism. We analysed twelve conditions based on dichotomized culture dimensions (high vs. low Power distance, Individualism, Masculinity, Uncertainty avoidance, Long-term orientation, and Indulgence) across demographics (e.g., age, gender). We conducted network structure analysis using high-dimensional undirected graph estimation with glasso procedure splitting the data by culture dimensions in total with N = 40 795 individuals. The study findings indicated that the network models were fairly consistent across cultures with different scores on each of Hofstede's six cultural dimensions. This similarity reflects the previous studies in terms of the stability of associations between variables regardless of sex, age, and political beliefs.

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“…Understanding model building should be the basis of methodology in education. The society of the future is likely to consist of a globally linked hierarchical structure of local communities which will make significant use of the opportunities created by AI to build harmonious unity between society and the world (Bičevskis, 2021;Karnitis, 2021). An optimistic future can be achieved if superintelligence is used to build a cooperative and solidarity-oriented world in a coherent manner.…”

Section: World Awareness Through Modelsmentioning

confidence: 99%

“…As the uncertainty and novelty of tasks are rapidly increasing, preparations for the evaluation of information and decision making should be increasingly used. The role of art and philosophy in education is growing as they offer means to make generalisations (Bicevskis, 2021;Damasio, 2015;Petrov, 2021;Russell, 2019). The challenges of using datasets tackled in machine learning or weak AI become much more significant on the road to strong artificial general intelligence (AGI) or superintelligence (Barrat, 2013;Bostrom, 2014;Vilks, 2013).…”

Section: Models and Modellingmentioning

confidence: 99%

Global Cognition and Modelling Tasks in Arts and Education

Dzelme

2023

Human, Technologies and Quality of Education, 2023

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The creation and use of models is the basis for cognition and action. The main challenge for education is to prepare for real action, using different possibilities to create action models (AM) and their components (templates) so as to build real action. The methodology used in the study is based on a critical analysis of different models of consciousness using the principle of complementarity. The informative theory of emotion as well as its generalisations and applications in decision making have been applied, with particular attention to educational tasks. The design and operation of consciousness and artificial intelligence (AI) is based on the creation, storage, and use of AM. Natural and artificial neural networks use the datasets needed for training. The task of education is to organise the most efficient use of available information to prepare for tasks whose content is not known in advance. As the uncertainty and novelty of tasks are rapidly increasing, preparations for the evaluation of information should be used with increasing generalisations. The role of art in education is therefore rapidly growing. Similar problems arise in the formation of weak AI (machine learning), which become more significant on the road to strong AI (super intelligence) or general AI (AGI). The results from the study support the complex development of arts, education, and AI. An emotion classification system has been developed to facilitate the understanding of various evaluation problems. The results obtained could be significant for ensuring the stability of AI. Proposals have been made for building a common world understanding and meaning of life through art within the educational system.

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