The final objective of the unicist destructive testing method is to ensure the reliability of decision-making by avoiding threads and managing risks. This method is based on confirming the knowledge functionality based on the use of an inductive approach applied to non-analogous and non-homologous cases.
It expands the functional knowledge that has been achieved by developing clinics to test substitutes and succedaneous alternatives and by using complexity research methods to expand the level of applicability of the solutions.
The Functionality of the Method
Destructive testing allows defining the limits of the validity of knowledge considering that there are always, on the one hand, conceptual limits and, on the other, operational limits.
There are different models of destructive tests:
This approach implies developing a real solution, comparing this solution with its substitutes and finding out the SWOT they both generate and the response of the environment.
Research of Complex Systems
It implies finding the limits of the validity of substitutes based on experiencing, using acceptable preexisting knowledge and comparing it with the knowledge that is being tested. It includes the use of multiple conceptual benchmarks.
This is the final stage before real application. It requires developing a real solution for a real problem and allowing the context chooses between the succedaneum solutions and the one that has been developed. It implies finding the SWOT that the solution generates and the response of the environment.
Ontological Reverse Engineering
This implies using the technology of reverse-engineering comparing succedaneum solutions with the solution that is being tested and redefining their conceptual structure.
The real operation is what defines the final limits of the knowledge that is being tested.
Expert Systems to Sustain Methods
The unicist expert systems are alternative tools for any method that deals with business problem solving or solution building.
They were developed to manage the fundamentals of business processes by managing the root causes of processes to develop solutions in adaptive environments.
With multiple specialized modules to solve specific problems, these systems manage the unified field of the business processes to manage their functionality, dynamics and adaptability.
Note: The R&D work of this technology/methodology was led by Peter Belohlavek at The Unicist Research Institute.
The Unicist Research Institute