Agent-based computational transaction cost economics
In: Journal of economic dynamics & control, Band 25, Heft 3-4, S. 503-526
ISSN: 0165-1889
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In: Journal of economic dynamics & control, Band 25, Heft 3-4, S. 503-526
ISSN: 0165-1889
In: Agent-based social systems, 12
This book thoroughly prepares intermediate-level readers for research in social science, organization studies, economics, finance, marketing science, and business science as complex adaptive systems. It presents the advantages of social simulation studies and business intelligence to those who are not familiar with the computational research approach, and offers experienced modelers various instructive examples of using agent-based modeling and business intelligence approaches to inspire their own work. In addition, the book discusses cutting-edge techniques for complex adaptive systems using their applications. To date, business science studies have focused only on data science and analyses of business problems. However, using these studies to enhance the capabilities of conventional techniques in the fields has not been investigated adequately. This book addresses managing the issues of societies, firms, and organizations to profit from interaction with agent-based modeling, human- and computer- mixed systems, and business intelligence approaches, an area that is fundamental for complex but bounded rational business environments. With detailed research by leading authors in the field, Innovative Approaches in Agent-Based Modelling and Business Intelligence inspires readers to join with other disciplines and extend the scope of the book with their own unique contributions. It also includes the common challenges encountered in computational social science and business science to enable researchers, students, and professionals to resolve their own problems.
In: Intelligence and national security, Band 35, Heft 4, S. 539-555
ISSN: 1743-9019
In: Computers, Environment and Urban Systems, Band 48, S. 49-63
In: Computers, environment and urban systems: CEUS ; an international journal, Band 48, S. 49-63
ISSN: 0198-9715
In: Research policy: policy, management and economic studies of science, technology and innovation, Band 42, Heft 6-7, S. 1225-1238
ISSN: 1873-7625
In: International journal of critical infrastructure protection: IJCIP, Band 3, Heft 2, S. 76-82
ISSN: 1874-5482
In: Journal of economic dynamics & control, Band 77, S. 26-47
ISSN: 0165-1889
In: Metroeconomica, Band 71, Heft 4, S. 882-897
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In: ExSIDE Working Paper No. 38-2021
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In: SWPS 2018-17
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Working paper
In: TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis / Journal for Technology Assessment in Theory and Practice, Band 32, Heft 1, S. 30-35
Mathematical models and computer simulations play a crucial role in the context of the COVID-19 crisis for knowledge about the possible course of the pandemic and for appropriate policy decisions. The paper presents results from an ethnographic study of a government-funded R & D project dealing with agent-based modeling and simulation (ABMS) in the context of pandemic management. Based on the assumption that the use of computer simulations in pandemic management is not only a means to an end for political or epidemiological goals but also plays a significant role in determining which goals and strategies appear politically legitimate, the paper reconstructs how insights into the pandemic are generated in ABMS and specifically in the researched project and made accessible for decision-making.
In: Economic Modelling, Band 69
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