artificial societies
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2021 ◽  
Vol 16 (3) ◽  
pp. 0
Author(s):  
Tatiana Konkova

In 2020, the team of the Central Economics and Mathematics Institute of the Russian Academy of Sciences launched a regular international online seminar "Artificial Societies and Information Technologies". The seminar was attended by leading researchers in the field of agent modeling from Brazil, South Korea, India, China, France, Germany and other countries.


2021 ◽  
Vol 16 (4) ◽  
pp. 0
Author(s):  
Tatiana Konkova

On September 28, 2021, an international conference "Artificial Societies and Information Technologies" was held on the basis of the Central Economics and Mathematics Institute of the Russian Academy of Sciences and a round table "Supercomputer Technologies and Artificial Societies" was held


2021 ◽  
Vol 16 (2) ◽  
pp. 0
Author(s):  
Vladimir Sedyakin

An urgent problem of artificial intelligence and artificial society is the possibility of using so-called nano-bio-info-cognitive technologies for their development. The convergence of such different technologies is itself a complex and complex problem. The article generalizes the problem of classification of scientific theories. Many provisions of this problem have been fragmentarily considered by other authors. The problem itself, in a certain sense, is connected with L. Floridi's well-known problem about the possibility of building a unified information theory. The formulation of the question of the classification of information theories has quite obvious novelty, since in the Russian scientific and educational literature it has already been established for many years to consider the mathematical theory of communication by K. Shannon as the only possible one. This article presents an original classification of well-known theories, concepts and hypotheses related to information.


Author(s):  
Ivan Puga-Gonzalez ◽  
Wesley J. Wildman ◽  
Kevin McCaffree ◽  
Ryan T. Cragun ◽  
F. LeRon Shults
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2020 ◽  
Vol 12 (23) ◽  
pp. 10039
Author(s):  
F. LeRon Shults ◽  
Wesley J. Wildman

This article begins with a brief outline of recent advances in the application of computer modeling to sustainability research, identifying important gaps in coverage and associated limits in methodological capability, particularly in regard to taking account of the tangled human factors that are often impediments to a sustainable future. It then describes some of the ways in which a new transdisciplinary approach within “human simulation” can contribute to the further development of sustainability modeling, more effectively addressing such human factors through its emphasis on stakeholder, policy professional, and subject matter expert participation, and its focus on constructing more realistic cognitive architectures and artificial societies. Finally, the article offers philosophical reflections on some of the ontological, epistemological, and ethical issues raised at the intersection of sustainability research and social simulation, considered in light of the importance of human factors, including values and worldviews, in the modeling process. Based on this philosophical analysis, we encourage more explicit conversations about the value of naturalism and secularism in finding and facilitating effective and ethical strategies for sustainable development.


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