Assertional Simulation With Reference Data for Alternative Views
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Solution Overview
Problem
Current systems for decision-making in business and other situations lack the ability to effectively handle and present alternative points of view, as they do not readily facilitate the presentation of various potential structures or organizations reflecting different perspectives, and existing simulation systems fail to enable comprehensive handling of such views.
Innovation Solution
A system for decision support that includes a reference data set configured to omit structural constraints from diverse data sources, allowing for the de-referencing of data elements and generating a reference data model independent of original ontologies, along with a recombinant access and mediation system to manage entity interactions and access rights, facilitating the handling of alternative points of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is structured according to source ontologies and constraints, then data integrity and meaning are preserved, but the ability to model alternative points of view and reorganize data flexibly is reduced
Solution Approach 1:
The system segments data into two distinct layers: a structured source layer that preserves original ontologies and constraints, and an unstructured reference data set layer that enables flexible reorganization. This segmentation allows each layer to serve its specific purpose without compromising the other.
Solution Approach 2:
The system extracts data elements from their original structured contexts and ontological constraints, placing them into a reference data set where they can be freely reorganized. This extraction separates the data content from its original structural dependencies, enabling alternative viewpoints while maintaining source integrity.
2Loss of information
If data from multiple sources is integrated maintaining original structures, then source-specific meanings are preserved, but the complexity of managing multiple ontologies and constraints increases
Solution Approach 1:
The system introduces an intermediary reference data set that acts as a mediator between multiple source data sets. This intermediary layer stores data elements without source-specific ontological constraints, allowing information from multiple sources to coexist without direct structural conflicts while preserving access to original meanings through separate source definitions.
3Manufacturing precision
If simulation systems enforce strict data constraints and relationships, then analytical rigor is maintained, but the ability to explore alternative organizational structures is limited
Solution Approach 1:
The system implements dynamics by allowing the reference data set to be reorganized and restructured flexibly for different simulation scenarios, while the source data sets maintain their static, constrained structures. This enables the same data to be analyzed with different organizational structures without compromising source integrity or analytical rigor.
Data Source
AI summary
A transposable identity enchainment system processing digital entities of each of users, data and processes equivalently and comprising a recombinant access mediation system, a associational process management system, a topical capability mediation system, and a multi-dimensional enchainment system that enchains aspects of entity identities via mediated association certificates and including at least one root certificate for at least one of the entities.