Resumen de Chaos vs. Social entropy - organizational learning and dynamic skills at a healthcare food catering service
Rui Pedro Carvalho Fernendes Lima
Chaos Theory (CT) has been studied and applied in areas of Learning, Education, Intelligence, Erudition, just to name a few. Researchers have focused their studies on the ubiquity of complex and dynamic systems and the similarity between patterns generated by nonlinear structures, i.e., from a theoretical point of view, it can resemble the patterns produced by simple non-linear systems where it is difficult to take a data set and determine the system of relationships that created it. From a comprehensive overview, CT can be seen better as an extension of systems theory to the field of nonlinear dynamics than as a total paradigm shift, i.e., CT is the qualitative study of unstable aperiodic behavior in deterministic non-linear dynamical systems. Entropy is a scientific concept, as well as a measurable physical property that is most commonly associated with a system state of disorder, randomness, or uncertainty. Entropy is a measure of the disturbance in a closed system, and according to the Second Law of Thermodynamics (SLT), entropy in a system increases over time. On the other hand, Social Entropy (SE) is a centripetal force that strives to dissolve the higher or medium institutions of any society, reducing it to its component forms. Being left unchecked, this destructive force will cause lawlessness, riots, and unpredictability. Hence the research’s question, viz. - How to decide the chaotic behavior in nonlinear systems, to assess the accuracy of strategic decisions and behavior of the things in a chaotic environment? - How to determine and study the functioning and influence of the Chaos’ features, namely the nonlinearity, ergodicity, fractal and sensitive dependence in other systems? - How strongly Chaos and SE influence an organization Learning and Dynamical skills in general, and in particular at a Food Catering at a healthcare facility? - How it will be argued that most organizations in general, and the ones in the area of Food Catering are characterized by SE [1-3]? which will be addressed in the context of, viz. - non-Ergodic Theory vs. Fractal Geometry - Fractals are beautiful and complex geometric objects, being is study of interest in Mathematics, Economy, Philosophy, Physics and Computational Sustainability, just to name a few. Their inherent structure, based on their self-similarity, makes the study of their geometry amenable to dynamical approaches, which are object of study in this PhD project. A theory along these lines will be developed leading to deep insights in how to connect the Theory of Chaos and Social Entropy, and - non-linearity in a Qualitative and non-Ergodic Knowledge Representation line – Methodological discussions are often oversimplified by distinguishing between the quantitative and the qualitative paradigm in knowledge representation and arguing that quantitative research processes are organized linearly and deductively, while the qualitative ones are organized circularly and inductively. In this thesis project one’s view is in parallel with the later assertion; and - non-Ergodic Knowledge Reasoning – Information processing is not on a unique trajectory; it is vastly non-ergodic. This is in line with one’s thesis work. [1] G. V. Fisher, “An Introduction to Chaos Theory and Some Haematological Applications”, Comp Haematol Int. 3:43-51, 1993. [2] Kellert, S. H. (1993). “In the Wake of Chaos: Unpredictable Order in Dynamical Systems”. University of Chicago Press, Chicago, USA, 1993. [3] Nigel Reading, “Dynamical Symmetries: Mathematical Synthesis between Chaos Theory (Complexity), Fractal Geometry, and the Golden Mean”, Architectural Design64, 11/12 pp: xii-xv., 1994.
