The critical decision-making
model is the primary driver of invisible entities in Non-Biological Systems,
which draws on the evolutionary processes of Biological Systems. Understanding
how Universal Principles underpin, create, and adapt within these contexts is
essential. Social Contexts can influence attributes of Universal Principles and
the features of Biological Systems by adjusting instance parameters.
Invisible Entities may appear in Non-Biological Systems when
Biological Systems struggle to internalize Ethical Content and Universal
Principles. However, the struggle often results from limited perspectives on
Universal Principles, leading to critical and unfavorable performance
challenges for Biological Systems.
In Non-Biological Systems,
System Owners primarily define and control many instance parameters of
Universal Principles. General Knowledge provides a broad framework
for Universal Principles. Biological Systems equipped with Universal Knowledge
can evaluate and select the Optimal Mode for applying Universal Principles
using observation and experimental testing (Fig. 1, UML). For Biological
Systems to progress along the evolutionary path, they must internalize
principles and norms through Materialistic Knowledge or Spiritual Knowledge
buffers. Convergence of these knowledge types, spiritual and materialistic, facilitates
a harmonious balance within Biological Systems.Global Variables in Non-Biological Systems help
instantiate and modify the conceptual understanding of Universal Principles,
influencing decision-making psychology and Optimal Mode selection. In
Non-Biological Systems, Optimal Global Variables should help Biological Systems
choose a path of Knowledge Convergence.
An observational study reveals that
Materialistic Knowledge presents attractive opportunities and a competitive
edge within the Universal Principles Mode. In a competitive world,
infrastructure systems increasingly rely on Materialistic approaches, which
foster practical functionality in Social Contexts.
Political and Social Variables in
Non-Biological Systems can uncover algorithms beyond Global Variables, which
Systems Owners define. Empirical studies suggest private investigations by
system elements as they evolve. While Global Variables can alter parameters
within ethical guidelines, system resource elements may still opt for
parameters in a spiritual mode on life’s evolutionary path. Religion and Life
Philosophy are examples of Spirituality parameters, which system resource elements
can selectively adopt to extend their scope (Fig. 2).
Observation:
Two distinct accelerator Modes within Universal Principles
significantly influence the quality of the evolutionary path for Biological
Systems. These essential modes are defined as follows: 1) Materialistic and 2) Spiritual Mode (Fig 1).
Observation:
Parameters of General Knowledge in Biological Systems include 1)
Analytical Realistic Knowledge, 2) Scientific Knowledge Mapping, and 3) Logical
Knowledge Algorithms.
Observation:
Optimal posture involves blending the Materialistic and Spiritual
Modes (Knowledge Convergence). Relying solely on one mode can lead to the
emergence of invisible entities within both Biological and Non-Biological
Systems. Side effects of enforcing integration with the Materialistic Mode may
include diminished solidarity toward social parameters. In contrast,
integration through persuasion in the Spiritual Mode may lead to separation,
isolation, and practices of austerity.
