Complexity as Social Entailment
|RCSP Phase State Entailment Mesh Equilibrium.
Information theory explains organized complexity in terms of the reduction of entropy (disorder)
that is achieved when systems absorb energy from external sources and convey it to pattern or
structure. Complex systems take in data from their environments, find regularities in the data,
and compress these perceived regularities into internal models that are used to describe and
predict its future. Adaptation results from the selection pressures of specific environmental
conditions which are often composed of many degrees of uncertainty. Conditions under which
complexity emerges can best be described as intermediate between chaos and order.
In that social organizations can be understood as non-linear and dynamic artificial systems, theories of complexity can be used to describe properties which can be algorithmically and semantically described.
Five Radio Controlled Surveillance Probes and their assigned operators function in a self-organizing
and adaptive social entailment resulting from hierarchical inter relationships (span of control)
which emerge patterns of complex behavior. Locally interacting semi-autonomous behavior protocols
are connected only by a system of relations and abilities to react (predict) to the dynamics of
cooperation using probability.
|Adaptive Interaction/Reaction Based on Attractor/Repellor
Of particular concern is the enabling of adaptive reaction/interaction with the many uncertainties
present in a public architectural spaces. Therefore, the complexity of the social entailment is
necessarily derivative of its ability to inference about the uncertain relationships and evolving
circumstances present in the selected test environment.
Bayes' theorem provides a means of describing parameters for addressing inference and uncertain relationships.
p(H|E,I) = p(H|I)*p(E|H,I)/p(E|I) [Bayes Rule]
The geometry of behavior associated with the dynamics of chaos provides a framework from which specific
RCSP maneuvers are developed. Attractor/repellor states and procedures assigned to each RCSP influence
and are influenced by the hierarchical entailment structure, leading towards a non-predictive equilibrium.