Accelerating technology for self-organising networked democracy
| Autor: | A. N. Raikov |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Government Knowledge management Sociology and Political Science business.industry Computer science media_common.quotation_subject Cognition 02 engineering and technology Development Structuring Democracy 020901 industrial engineering & automation Self organisation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Business and International Management business media_common |
| Zdroj: | Futures. 103:17-26 |
| ISSN: | 0016-3287 |
| DOI: | 10.1016/j.futures.2018.03.015 |
| Popis: | The decision-making processes and strategic conversations in networked democracy have become faster due to artificial intelligence and information and communicative technologies. But traditional approaches to group decision-making support are not quite effective in networked conditions, especially when most of the factors describing the problem situations are poorly defined and non-quantitative. The author’s convergent technology (approach) helps ensure the necessary conditions for structuring information in a special way that accelerates networked group decision-making processes and makes them more sustainable and purposeful. The approach uses the experience of creating networked expertise systems (e-expertise), cognitive modelling, inverse problem solving, etc. The networked groups may include authorities, companies’ management and employees, experts, policy-makers, researchers, citizens, etc. The approach could be useful for group strategic formation for self-organising social networks and for creating effective strategies for government, non-government, regional, national, municipal, and other bodies. An example of testing the approach in real practice is presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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