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System Foundation
Clearsight products derive their value from a powerful mathematical systems foundation—hybrid systems—that enables decision systems to work at a whole new level.
Hybrid systems, a new form of systems theory, was developed by Clearsight founders Wolf Kohn and Anil Nerode over a decade ago. That foundation has had worldwide impact and has been validated by top mathematicians and discussed in hundreds of scientific publications.
The unique attributes of the hybrid systems theory drive the unique capabilities of Clearsight products. These capabilities include support for:
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Amalgamation
Hybrid systems theory supports the amalgamation of multiple models—both mathematical and otherwise—providing a powerful framework for mixed models. Amalgamation allows decision systems to incorporate data, process, and empirical knowledge into the decision process, thereby enabling better, clearer answers.
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Convergence
Mathematical theories aren't useful until and unless they are applied to specific problems. Hybrid systems support the concept of convergence, which is the application of mathematics to obtain an optimal answer. Hybrid systems are tuned to deliver practical answers. Encoded in every system are built-in tests that work through the practicalities of every operation. Simply put, the result of convergence is an answer. Because hybrid systems balance the speed of correctness with practical procedural speed, they allow the best answer possible in the fastest possible timeframe.
- Robustness Through Learning
Because of its hybrid systems
foundation, Clearsight decision systems "learn" through the execution process and, therefore, improve over time. As the system continues to execute and learn, it enables changes in parameters and structure. By automatically tuning the decision-making process to the realities of the world, the system actually improves the model and the decisions based upon the model over time.
Through pure mathematical innovation, Clearsight is establishing a new level of clarity, speed, and adaptability for mission-critical decision systems.
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