Adaptive Systems Design


Business Architecture: The Unified Field of Institutions

Institutions are considered as entities that seek for permanence, being driven by their mission and the rules that regulate their behavior in the environment. This defines the archetype of an institution that is homologous with the phenotype of a living being.

The institutional phenotype is defined by the natural organization it adopts which is integrated by the structural business model that includes adaptive systems to expand and administrative systems for the energy conservation of the institution.

The energy conservation function defined by the institutional unified field is given by the strategy it has, which includes both the maximal strategy to expand beyond the boundaries and the minimum strategy to survive.

Diego Belohlavek

NOTE: The Unicist Research Institute was the pioneer in using the unicist logical approach in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. It has an academic arm and a business arm.
https://www.unicist.net/engineering/wp-content/uploads/2015/11/turi.pdf


Ethical Intelligence as the Driver of Adaptive Business Processes

The ethical intelligence included in the institutional archetype of an enterprise defines its level of adaptiveness in the market. The level of adaptiveness is implicitly included in the business strategy and the business architecture of a company. It has to be considered that there are two basic attitudes in business:

Ethics is a human intelligence that gives support to the individual’s capacity to adapt to an environment. Ethical intelligence is the basis for: added value generation, individuals influence on the environment, time management, strategic planning capacity and focusing.

Ethics is a human intelligence that gives support to the individual’s capacity to adapt to an environment. Ethical intelligence is the basis for: added value generation, individuals influence on the environment, time management, strategic planning capacity and focusing.

  1. An Adaptive attitude that allows influencing the market while being influenced by it.
  2. An over-adaptive attitude that drives to dominate, submit or oppose the market.

Adaptive processes are implicitly complex; this implies that the market and the company need to be considered as a “unified field” in order to be able to exert influence while being influenced. But this complexity needs to be simplified in order to make work processes manageable by anyone.

Therefore adaptive business processes, including adaptive automation, demand using behavioral segmentations to define adapted actions that require identifying the counterpart that is being influenced. It requires being client focused while obtaining the corresponding benefits as a counterpart.

Client Centered Management is the organizational meta-model that establishes the rules to be considered by companies that have decided to develop an institutionalized strategy in their market. It emulates the adaptive behavior of nature.

This client orientation allows developing adaptive automated processes that include the use of business objects and commercial objects that simplify the adaptive process and ensure results. The adaptive automation is what makes adaptiveness manageable in business.

Therefore the ethical intelligence implicit in the business strategy is what defines the level of adaptiveness of a business process.

Peter Belohlavek

NOTE: The Unicist Research Institute was the pioneer in using the unicist logical approach in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. It has an academic arm and a business arm.
https://www.unicist.net/engineering/wp-content/uploads/2014/09/turi.pdf


Adaptive Systems: How does Unicist Quality Assurance Systems work?

The Quality Assurance concept implies that in the activity, which must bring about an added value, there is a Redundant Functionality and a Self-exclusion System within a framework of a Redundant Operational Method.

Unicist Quality AssuranceQuality assurance is of vital importance in the life sciences field.

In those fields in which the lack of quality is not a life or death, success or failure determinant, the possibility of conceiving a Quality Assurance process turns distant.

There is only quality assurance in those cultures and activities in which there is the attitude that things should be functionally right and certain as far as the value they add.

Elements included in a Quality Assurance System:

  1. Plan A, B, C and D
  2. Redundant Systems
  3. Alarm System
  4. Processes with redundancies
  5. Stop System (stoppage/halt)
  6. Control System
  7. Self repairing/recovery System
  8. Alternative Systems

Without quality assurance there is no reliability in results. The quality assurance concept is very hard to apprehend and internalize. In order to do so it is necessary to see the elements described above within oneself. It is only as of this that a quality assurance process can be developed.

Diego Belohlavek

NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. http://www.unicist.org


Unicist Logical Approach: Automation of Business Processes

We define automation as a process that includes automatic behaviors which can be self-executing or human triggered. A sound knowledge of a given reality is necessary to apprehend its automation. The deeper the knowledge the higher is the possibility to automate a process.

EffectivenessThe simplest way to acquire a comprehensive knowledge is to divide a process into independent parts and then integrate them interdependently.

The deeper the knowledge of the wholeness of a reality, the better the automation solution in terms of energy consumed to reintegrate its parts.

Automation

The first aspect to be considered is to relate the architecture of a given reality with its conceptual engineering.

Conceptual engineering defines the architecture of a problem. To do so it is necessary to structure the concept of that reality.

Architecture is used to define the concepts of a reality materializing them as solutions, within the possibilities of existing knowledge.

Redesigning the automation of a process implies restructuring its functionality in terms of effectiveness.

Effectiveness = Efficiency*Efficacy*Automation

The concept of effectiveness was discovered at the beginning of the seventies.

The first approach to effectiveness implied adding efficiency and efficacy to achieve the best possible result.

It was an empirical solution to develop work processes optimizing the efficiency of the systems and the efficacy of humans.

In those times people were trained to develop the necessary skills to manage their work processes.

The results of this approach were inconsistent. “Change resistance” was the natural explanation for inadequate results.

The research on effectiveness, considered as an adaptive complex system, showed that its components should not be added, but should be integrated. Integration means conjunction. Conjunction, in mathematical terms, means multiplication.

This was the first approach to the conceptual analysis of work processes, which implied the integration of the three components of Effectiveness (Automation, Efficacy and Efficiency). In those times they were considered as variables, which at the end were defined as the functions of a concept or the dimensions of an ontology.

Analyzing a work process from this point of view implies recognizing a different aspect of a workflow. This approach is much more flexible and offers much more possibilities than the empirical addition of efficacy + efficiency.

Diego Belohlavek

NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a private global decentralized leading research organization in the field of human adaptive systems. http://www.unicist.org


The ontological reverse engineering process

Ontological reverse engineering processes are necessary to apprehend the ontogenetic map of a certain reality that has already been discovered or discover the ontological structure of a function in the real world. This process requires having both technical analytical knowledge and fundamental knowledge integrated them with a unicist reflection process.

Ontointelligence defines the capacity of individuals to deal with complex problems. Ontointelligence is integrated by the individuals’ strategic intelligence, their type of logical thinking and their ethical intelligence.

This defines the focus of an individual’s activity, the value s/he adds to the environment, the capacity to forecast the future and the field in which an individual is naturally successful.

Intelligence evolves when an individual matures. The maturity permits an individual to achieve the maximal level of influence on reality.

Backward thinking implies being able to think from the end to the beginning. Consider a mounting line. It is the capacity of an individual to decompose the final “product” into its components.

When we are talking about ontological reverse engineering it means that in this process the individual is able to find the nature of a specific reality. To do so, an individual has to be able to discover the structure of the nature of that reality.

The ontological reverse engineering process is the basic approach to rediscover the concepts of a reality that have been discovered. And in order to do this, individuals need to discover the components of the “mounting line” that define the final reality until they had found the objects that integrate that reality.

Access the content of the book “The Nature of Unicist Reverse Engineering for Object Design” at the Unicist Library:
http://www.unicist.com/books-pages/en/pr_unicist_reverse_engineering_en.php

NOTE: The Unicist Research Institute was the pioneer in complexity science research and became a global decentralized world-class research organization in the field of human adaptive systems. https://www.unicist.net/engineering/wp-content/uploads/2012/05/turi.pdf