Complex Dynamic Systems

• Main Authors: Ipolit Duncan M., Teresha Kelsey T.
• Format: Article
• Language: Spanish
• Published: Instituto Antioqueño de Investigación (IAI) 2018-06-01
• Series: Revista Antioqueña de las Ciencias Computacionales y la Ingeniería de Software (RACCIS)
• Subjects: Complexity; transdiscipline; complex dynamic systems; Computational Sciences; computer science
• Online Access: http://fundacioniai.org//raccis/v8n1/n14a3.pdf

Due to its amazing variety of shapes and functions, dynamic systems have fascinated scientists and philosophers for decades. Evolution has been such that it is now possible to explain the structures and laws in nature and society through complex dynamic systems. Here we can mention from atomic and molecular systems in physics and chemistry, to cellular organisms and ecological systems in biology; from neuronal and cognitive systems in brain and cognition research to societies and market systems in sociology and economics. In all these cases, the complexity refers to the variety and dynamics of the elements that interact and that cause the appearance of atomic and molecular structures, cellular and neuronal patterns, or the social and economic order. In any case, computer systems can simulate the self-organization of complex dynamic systems, where complexity is a measure of the computational degrees for predictability, depending on the flow of information in these systems. The objective of this article is to explain the information and computational dynamics of complex systems in nature and society, from the point of view of the philosophy of modern systems science.