Theoretical Issues on Systems Science

<p><span style=color: rgba(23 43 77 1)>In Theoretical Issues on Systems Science we present theoretical issues including theoretical incompleteness multiplicity systems as networks and chaos game theory and meta-structures. Other less explored research topics include equivalence and tolerance in systems pending systems recurrence and self-reflexivity remote synchronization and the significance of using complex numbers in system models.</span></p><p><span style=color: rgba(23 43 77 1)>The first group of papers addresses theoretical aspects including 1) the role of noise in complex systems; 2) the potential of general systems theory to serve as a theory of everything; 3) the drawbacks of applying classical axiomatic deductive mathematical approaches to topics such as control evolution by rewriting DNA instructions; 4) the near non-existence of purely theory-free approaches and the balance between theoretical and empirical contributions; 5) the neglect in reductionism in that systems acquire properties and the assumption that multiple variable interactions of complexity can be analytically zipped; and 6) tree-based methods for statistical learning for which the author presents a systems theory-based framework to speed up discrete event system stochastic simulations.</span></p><p><span style=color: rgba(23 43 77 1)>The second group of papers examines theoretical aspects within specific fields including 1) human dynamics; 2) human cognition; 3) complex physiological processes; 4) medicine; 5) chemical organization theory; and 6) psychotherapy.</span></p>