Monday, July 15, 2013

The complex EPVA Instinct modifies resources in integration pattern

Invisible entities in Biological Systems and Non-Biological Systems demand descriptive 214 Case Studies since year 2007. The critical views of invisible entities and analysis for selective parameters in Non-Biological Systems acknowledge that the instance of defective parameters in system environments is system global variables. Systems Owners articulate designated parameters on system global variables in behave of sustainable competitive advantage and economic perspectives. Priority in sustainable competitive advantage hampers good governance and harmonic balance in system elements. Case studies identify that the EPVA instinct plays as a substantial role in decision making and using a structure of global variable. This case study implies how the EPVA instinct can modify Biological Systems in integrated subsystems.
Figure (1) shows the functional mechanism of Human Instincts. Parameters in external environments modify and activate the Primary Instincts. The Secondary Instinct support dominant Instinct (Primary Instinct, which is activated by external forces). The Secondary Instinct activates Associative Primary Instincts in terms of service and production support for Primary Instinct.

Figure (2) refers to Systems Owners, who have activated EPVA (Earning Power Value Asset) Instinct. Systems Owners have not knowledge awareness for Instinct mechanisms and EPVA functions. The world competitiveness activates EPVA Instinct and modifies decision making.

Figure (3) illustrate a Non-biological System or technological structure in a default mode.  This structure have not modified by decision making yet.

Figure (4) shows activated EPVA Instinct in brain of System Owner. It would impact on decision making and eventually structure of global variables in System A.  Instance of Global Variables can modify integration mode through manipulating arrays between Subcomponent for System A and Subcomponent for System B. The EPVA Instinct always modifies social behaviors and decision making in Biological Systems. Hidden manipulating arrays create invisible entities in system resources and integration mode.

Figure (5) shows how System Owner specifies contrasting political aspects of integration and competitive advantage beyond integration code. Hidden Primary Instincts modify integration codes. However, the integration techniques between two systems work perfectly in the short term. Invisible entities in integration mode convert internal resources to state of complexity cross system platform on the evolutionary path of system performances. 

Figure (6) shows how algorithm parameters of invisible entities propagate in entire system environments on evolutionary path of system performances.

Figure (7) shows allocated invisible entities in integrated mode expose internal resources in Subcomponent B. Diagnostic tests identify parameter complexities across Subcomponent B. At this juncture, system experts cannot determine source of complexities. In the best case scenario, system experts would identify instance parameters in system integration.
The real issue, which is EPVA instinct in the brain of system owner (A), would remain mysteries. Therefore, the paradox of complexity for system resources in Subcomponent B has always been a controversial topic for social and technological arguments.


The Black Box method used for approximate allocation algorithms within instinct mechanisms.

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