These sources examine the work of W. Ross Ashby and his foundational contributions to cybernetics, specifically regarding how complex systems maintain stability through regulation. Central to this collection is the Law of Requisite Variety, which posits that a regulator’s effectiveness is strictly limited by the amount of information or variety it can process. The texts explore the “Every Good Regulator” theorem, asserting that any successful control mechanism must essentially function as a model of the system it manages. This principle extends to the human brain, which is viewed not as a mystical entity but as a biological machine shaped by evolution to achieve appropriate selection. By utilizing information theory, the authors analyze how organisms and machines alike transition from chaos to equilibrium through self-organization. Ultimately, these writings frame intelligence as the power of appropriate selection, governed by measurable mathematical constraints rather than subjective qualities.
Sources
Based on the sources provided in the notebook, here is the complete list of documents:
• A Primer For Conant & Ashby’s “Good-Regulator Theorem”     ◦ Source: A_Primer_For_Conant_And_Ashby_s_Good-Regulator_Theorem.pdf    ◦ Reference: www.goodregulatorproject.org • Adaptive Systems: Work of Ashby and Ultrastability     ◦ Source: Adaptive Systems work of ashby and ultrastability.pdf    ◦ Details: Seminar Week 4 reading list, Spring 2006, Ezequiel A. Di Paolo. • An Introduction to Cybernetics     ◦ Source: [Book] Ashby - An Introduction to Cybernetics.pdf    ◦ Author: W. Ross Ashby    ◦ Publisher: Chapman & Hall, London (1956).    ◦ Link: http://pcp.vub.ac.be/books/IntroCyb.pdf • Connectance of Large Dynamic (Cybernetic) Systems: Critical Values for Stability     ◦ Source: Ashby Gardner - Stability.pdf    ◦ Authors: M. R. Gardner and W. R. Ashby    ◦ Reference: Nature, 228, 784 (1970). • Deformation-Mechanism Maps     ◦ Source: Ashby 1972 - Ashby maps.pdf    ◦ Author: Michael F. Ashby (Note: Context indicates materials science, distinct from W. Ross Ashby). • Design for a Brain: The Origin of Adaptive Behaviour     ◦ Source: [Book] Ashby - Design for a Brain The origin of adaptive behaviour.pdf    ◦ Author: W. Ross Ashby    ◦ Publisher: Chapman & Hall, London (1952, 2nd ed. 1960). • Every Good Regulator of a System Must Be a Model of That System     ◦ Source: Conant_Ashby.pdf / Conant Ashby - Every Good Regulatory of a System Must be a Model of That System.pdf    ◦ Authors: Roger C. Conant and W. Ross Ashby    ◦ Reference: International Journal of Systems Science, 1(2), 89-97 (1970). • Foreword [to Mechanisms of Intelligence]     ◦ Source: Klir - Ashby Foreword.pdf    ◦ Author: George J. Klir. • Mechanisms of Intelligence: Ashby’s Writings on Cybernetics     ◦ Source: [Book] Conant - Ashby Mechanisms of intelligence.pdf / Ashby Mechanisms.pdf / Ashby-Mechanisms_of_intelligence_ocr.pdf    ◦ Editor: Roger Conant    ◦ Publisher: Intersystems Publications (1981).    ◦ ISBN: 1-127-19770-3. • Principles of the Self-Organizing System     ◦ Source: Ashby.pdf / Ashby_Principles of the self-organizing system_1962.pdf    ◦ Author: W. Ross Ashby    ◦ Original Publication: Principles of Self-Organization, Pergamon Press (1962).    ◦ Reprint: E:CO Vol. 6 Nos. 1-2, 102-126 (2004). • Requisite Variety and Its Implications for the Control of Complex Systems     ◦ Source: Ashby - Requisite Variety and its implications for the Control of Complex Systems.pdf / Ashby 1991 - Requisite Variety and Its Implications for the Control of Complex Systems.pdf / Ashby Req Var.pdf    ◦ Author: W. Ross Ashby    ◦ Reference: Cybernetica, 1(2), 1-17 (1958). • Ross Ashby’s General Theory of Adaptive Systems     ◦ Source: Umpleby 2009 - Ashbys general theory of adaptove systems.pdf / Ashbys general theory of adaptive systems.pdf    ◦ Author: Stuart A. Umpleby    ◦ Reference: International Journal of General Systems, 38:2, 231-238 (2009).    ◦ DOI: 10.1080/03081070802601509 • Ross Ashby’s Information Theory: A Bit of History, Some Solutions to Problems, and What We Face Today     ◦ Source: Krippendorff - Ross Ashbys Information Theory A bit of history seom solutions to problems and what we face today.pdf / ashby paper.pdf / ashby ross .pdf    ◦ Author: Klaus Krippendorff    ◦ Reference: International Journal of General Systems, 38(2), 189-212 (2009).    ◦ DOI: 10.1080/03081070802621846 • Systems and Information     ◦ Source: Ashby - Systems and Information.pdf    ◦ Author: W. Ross Ashby    ◦ Reference: IEEE Transactions on Military Electronics, MIL-7, 94-97 (1963). • The Complexity-Sustainability Trade-Off in Niklas Luhmann’s Social Systems Theory     ◦ Source: ashby complexity absorption luhmann complexity exclusion SRBS-paper-2.pdf    ◦ Reference: Systems Research and Behavioral Science, 31, 14–22 (2014).    ◦ DOI: 10.1002/sres.2146 • The Contribution of Information Theory to Pathological Mechanisms in Psychiatry     ◦ Source: ashby pschiatry.pdf    ◦ Author: W. Ross Ashby    ◦ Reference: British Journal of Psychiatry, 114, 1485-1498 (1968). • The Origin of Adaptation     ◦ Source: The Origin of Adaptation - Ross Ashby - 1941.pdf    ◦ Author: W. R. Ashby    ◦ Type: Handwritten Manuscript (Dated 19 November 1941).    ◦ Link: W. Ross Ashby Digital Archive. • The Past, Present, and Future of Artificial Life / Complexity, Ashby, Autopoiesis     ◦ Source: 1409.7475 complexity Ashby autopiosis.pdf    ◦ Context: Contains reference to “Complexity, Ashby, and Autopoiesis” (matches file name/arXiv ID 1409.7475). • Transcomputability and Epistemic Processes     ◦ Source: Transcomputability - ashby and epistemic processes.pdf    ◦ Author: Thomas Fischer    ◦ Publisher: Emerald Publishing Limited (2017).