Stuart Kauffman is een Amerikaanse theoretisch bioloog en onderzoeker van complexe systemen, gericht op de oorsprong van het leven op aarde. Zijn werk stelt dat de complexiteit van biologische systemen net zo goed kan voortkomen uit zelforganisatie en dynamiek ver van evenwicht als uit Darwins natuurlijke selectie. Hij past ook modellen van Booleaanse netwerken toe op vereenvoudigde genetische schakelingen, wat bijdraagt aan het begrip van de emergente eigenschappen van leven.
A fascinating exploration of the very essence of life itself sheds new light on the order and evolution in complex life systems and defines and explains autonomous agents and work within the contexts of thermodynamics and information theory, setting the stage for a dramatic technological revolution. 50,000 first printing.
The Search for Laws of Self-organization and Complexity
At Home in the Universe presents and extends the intellectual core ofKauffman's earlier book The Origins of Order (OUP 1993) for any intelligentgeneral reader can understand and appreciate. The reader is very effectivelyinvited into Kauffman's vision and thought processes, in one of the moreexhilarating and important books of popular science.
Stuart Kauffman presents a groundbreaking paradigm for evolutionary biology that integrates Darwinian concepts with insights from biology, physics, chemistry, and mathematics. The book delves into the origins of life and the maintenance of order in complex biological systems, emphasizing self-organization—the spontaneous emergence of order seen throughout nature. Kauffman posits that self-organization is crucial to the Darwinian process of natural selection, yet it has not been systematically incorporated into evolutionary theory. The mechanisms that enable complex systems to adapt remain poorly understood, as does the role of selection in fostering adaptability. This exploration reveals how complex systems can unexpectedly demonstrate remarkable order, which is vital for comprehending life's emergence and evolution on Earth. Key topics include the new biotechnology of applied molecular evolution, with significant implications for drug and vaccine development; the interplay between order and chaos in natural systems; and the predictive capabilities of statistical mechanics in biology. The approaches discussed may redefine the future of biological science, appealing to anyone interested in cutting-edge life sciences research.