Sunday, June 21, 2015

System operation and Decision Making Model can be optimized by Constraint Algorithms



This case study focuses on Constraint Algorithms in Biological Systems and Non-biological Systems. Constraint Algorithms can be created unique pattern of operation through Hardcode software in Non-biological Systems. Unique pattern of Constraint Algorithms can be activated in Brain through Social Context.

Sub-optimization might be used by system developers in order to handle interruptions and errors in Non-biological Systems. Efficient inferences algorithms (Constrain Algorithms) can be executed by rules and coding-style (Hardcoding) in terms of minimizing system performance options. Certain security settings add unique constraint and enhance performance in artificial intelligence. Inference algorithms articulate in logic programming languages and it produces unique constraint and circular dependency in basic system operations.

Biological Systems (Human beings) can also improve Decision Making Model by inference algorithms through Optimal Superego Adjuster. Logical parameters instantiate in Social Context by possessing either activated or inactivated instincts.

Softcoding is used in programming language technology due to maximizing flexibility and dynamic performance in artificial intelligence, Industrial Machinery, and Heavy Equipment.

Basically, Non-biological Systems would be compatible when internal resources can cope with external changes. A self-perpetuating cycle with constant noise source event needs unique pattern of Constraint Algorithms through hardcode software. Encapsulate data in programming languages can minimize functions, create unique security pattern, and eventually satisfy system requirements.

Figure 1 shows an example of a simple hardcoding in Non-biological Systems.

There is a remarkable analogy between brain mechanism of Constrained Genetic Algorithms (Biological Systems) and Softcoding mechanism of Constraint Algorithms (Non-biological Systems). Human beings have wide variety options for Decision Making through Interactional Instinct and pattern matching algorithms within Social Context. Some Instincts retrieve a list of functional Constraint Algorithms and unique security pattern like Hard-coded Mechanism in Non-biological Systems. Those parameters in Social Context which modify Instincts identify as Superego Adapter. Optimal Superego Adapter activates good Instincts and inactivates bad instincts. (Figure 2) 
                                                                       
                                                                            

Observation:

System developers use Hardcoding pattern in Non-biological Systems in order to minimize system performance, add certain security options, and instantiate unique pattern of Constraint Algorithms. Optimal Superego Adapter are used in Biological Systems either consciously or unconsciously in orders to minimize poor Decision Making and improve Social Behavior Patterns.

Observation:

Some attributes in Superego adjuster are identified as follows: Religions, Life Philosophy, Psychoanalytic Aspects, Austere Lifestyle, Cultural Paradigms, Experimental Knowledge, ethical parameters, unethical parameters, Power and Materialistic World View.

Observation:

Religions can suppress certain Decision Making Models, restrict behavioral freedom, and promote ethical perspectives.

Observation:

Add Constraint operations through optimal life philosophy and Hardcoding pattern within (Biological Systems and Non-biological Systems).

Observation:

Religion can promote superego in terms of overcoming the Ego. Superego can activate good instincts and inactivate bad instincts.

Observation:

Religion is part of Superego Adjuster and Human beings use instance parameter of Religion as help diagnostic tool in order to restrict certain Decision Making models.

Observation:

All possible code settings match is encapsulated in the day of a newborn baby (Biological Systems). A code setting is returned by array of functions through Instincts. Superego Adjuster (components in Social Context) activates and inactivates Instincts. Human beings can modify Instincts intentionally by support of Superego Adjuster in order to have Constraint Algorithms and unique pattern of Decision Making.


Observation:

Active and Inactive Instincts are recognized as code mechanism which run program in Human Beings and cause complex evolutionary paths.
In other words, Active and Inactive instincts determine Decision Making Models and Social Behavior Patterns.
Observation:

Constraint Algorithms can create unique pattern of operation both in Biological Systems and Non-biological Systems due to Security Modes.

Saturday, May 30, 2015

Bad instincts modify instance parameters in Social Context



Fundamentally, Human beings used to modify own Activated Instincts and Inactivated Instincts with the support of Optimal Superego Adjuster, which underlie Social Context. In the real world, Parameters in Social Context modify number of Activated Instincts, Inactivated Instincts, and Superego due to the rules that defined in General Systems Theory and external environmental changes. Systems respond to changes through internal adoption. Parameters within internal adoption ensure Harmonic Balance in System platform. By the common sense, System mechanism responds to external changes in order to survive. It is quite unfortunate that parameters in Social Context are modified by Global variables. System Owners articulate Global Variables according to changes in Competitive World. Those attributes are highlighted in Competitive World create complexity and add tension in Global Variables and instance parameters in Social Context; therefore, Human beings adopt and encapsulate more bad instincts than good Instincts. Even more vicious cycle of bad instincts modify instance parameters in Social Context.
Observation:
The numbers of Activated Instincts and Inactivated Instincts are unique like fingerprints in human beings. It is impossible to identify same number of Activated Instincts and Inactivated Instincts among human beings. Besides, human beings may not possess exact same Activated and Inactivated Instincts.
Observation:
Factors beyond sustainable Competitive Advantage in Global Variables have responsible for instantiating of multiple poor algorithmic parameter models in Social Mechanism and activating bad instincts in human beings. Global Variables supposed to address and promote somehow good instincts and inactivate bad instincts in human beings.
Observation:
Most invisible entities in Biological Systems and Non-biological Systems might be identified and handled by scientific knowledge of instinctive brain functions. It requires knowing characters of all invisible Instincts and how activated and inactivated instincts would modify environmental components. Identify the entire Invisible Instincts and their Instance Inherit Functions can pave the way to resolve complex map and wicked problems in Decision Making, operational procedures, and Social Behavior.   
Observation:
Some Activated and Inactivated Instincts are inherited and have fundamentals of genetic algorithms.