BIO Web Conf.
Volume 84, 2024International Scientific and Practical Conference “Development and Modern Problems of Aquaculture” (AQUACULTURE 2023)
|Number of page(s)
|Systems Psychology and Behavioral Ecology
|05 January 2024
Theoretical and methodological foundations for the development and formal model of behavior of a subject of a multi-level innovation environment with information asymmetry
Institute of Informatics and Regional Management Problems - branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 360000 Nalchik, Russia
* Corresponding author: email@example.com
This article provides an overview of the theoretical and methodological foundations for creating formal models of behavior of subjects in a multi-level innovation environment, where information asymmetry plays an important role. In the context of modern trends in innovative development, understanding the impact of information inequality on decision-making and interaction of participants is a key aspect for the effective management of innovation processes. The article discusses various methods for modeling the interaction of actors in an innovation environment, including game theory, agent-based modeling, network analysis and statistical approaches. These methods make it possible to create formal models that reflect the dynamics of the behavior of subjects and their strategies in conditions of information asymmetry. Particular attention is paid to analyzing the impact of information asymmetry on modeling results and assessing the effectiveness of various strategies for managing asymmetry in an innovation environment. The results of the article highlight the importance of further research in the field of modeling innovation processes taking into account information asymmetry to develop effective risk management strategies and create an enabling environment for innovation and development.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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