This paper explores the nature of dynamic context, particularly in regards to how it is used in dynamic modelling of interaction. The role of context is considered in two parts: how context constrains behaviour potential at each point of a social process; and how the context is changed as the result of behaviour. Various Systemic approaches to each of these questions are compared. The paper the...

In this paper we present an approach to the identification of nonlinear input-state-output systems. By using a bilinear approximation to the dynamics of interactions among states, the parameters of the implicit causal model reduce to three sets. These comprise (1) parameters that mediate the influence of extrinsic inputs on the states, (2) parameters that mediate intrinsic coupling among the st...

Abstract An interesting inference drawn by some COVID-19 epidemiological models is that there exists a proportion of the population who are not susceptible to infection—even at start current pandemic. This paper introduces model immune response virus. based upon same sort mean-field dynamics as used in epidemiology. However, place location, clinical status, and other attributes people an model,...