Reflecting on Max Boisot’s Ashby Space Applied to Complexity Management
Reflecting on Max Boisot’s Ashby Space Applied to Complexity Management
I had the most papers with Max. Working with him was like mating a tiger with an elephant: hard work but the offspring are very creative! The offspring? The Foresight chapter uses our updating of Ashby’s Law to the Law of Requisite Complexity to help managers more effectively adapt to environmental threats. The two Counter-terrorism chapters use socio/computational semi-autonomic methods speed up information processing from ‘neighbourhood’ observers. The econophysics Best Paper argues that extreme outcomes are more relevant to practitioner success than studying the ‘average’ of ‘normal’ distributions. The Bridge article uses the Ashby Space to bridge the gulf between the simplistic assumptions required making math-applied-to-human-behaviour valid and the chaos of constructivism; neither offer truth-based insights useful to practitioners. Using power-law science to more accurately diagnose how well industries and firms are adapting to their competitive environments. How to best manage agent self-organization and scalability dynamics that can lead to unwanted negative or hoped for extreme outcomes. (7) Our application of complexity and connectivities to ‘real options’ still needs to be completed.
Keywords: foresight, requisite complexity, counter-terrorism, socio/computation, neural network models, econophysics, modernism, postmodernism, complexity science, scalability dynamics, self-organization
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