This next-generation tool allows situational reasoning of application implementation. The software enables interactive design, specification, deployment, and ongoing maintenance of applications based on artificial neural networks. It focuses on the development of Cognitive Maps - frameworks able to leverage multiple technologies for data storage and manipulation, system modeling, and artificial intelligence. They are symbolic knowledge representations that fully support explainability through natural language interfaces.
What helped us achieve the project goals: best practices for mind maps, user interfaces, and continuous integration; the usage of flexible app architecture solutions, development tools, and methodologies, rich preferences for customer personalization; best design practices for managing huge amounts of structured data.
The creation and management of Cognitive Maps is a highly interactive task for users. Cognitive Maps evolve through feedback from visualizations that highlight relationships between goals and situations, show where the map needs to be expanded, changed, or reduced. Solution is designed to enable interactive creation with intuitive displays and ease-of-use features.
The Bayesian Network (BN) user interface offers the following possibilities:
When developing Cognitive Maps, users often simulate a running application so that they can examine the results and modify the Cognitive Map to achieve desired reasoning behavior. To do this, they use the Simulation capabilities that allow the user to do the following for a single complete and publishable Cognitive Map:
The solution merges the cognitive reasoning power of artificial intelligence, predictive analysis, and the performance of Big Data and cloud computing environments. The customers extensively use it for building their own high-level software across various industries, including gas and oil, finance, and government management.
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