SubsidieMeestersIntelligence-Oriented Verification&Controller Synthesis
InOVation&CS aims to enhance the scalability and reliability of controller synthesis through AI/ML-driven verification methods, focusing on explainability and structured problem-solving.
Projectdetails
Introduction
Software making decisions or controlling cyber-physical systems is ubiquitous, hence its correctness is of paramount importance. While the increasing complexity makes manual implementation extremely error-prone, verification can provide formal guarantees on correctness. Verification of hardware and software has seen many successes and industrialization, making systems safe and reliable and their development more efficient.
Controller Synthesis
Controller synthesis goes one step further and avoids the manual implementation, providing a correct-by-construction controller directly. Despite considerable advances, scalable solutions remain elusive here.
Challenges of AI/ML
Artificial intelligence and machine learning (AI/ML) provide scalable solutions to decision making, but at the cost of their reliability, making their verification even more pressing. Besides, the use of AI/ML gives rise to fundamentally new challenges since models, properties, and controllers are now often based on data rather than design.
Black-Box Nature
Due to their “black-box” nature, the resulting systems are:
- Even harder to verify.
- Not explainable enough to be responsibly deployed.
Objectives of InOVation&CS
The PI has been pioneering the use of learning in verification to bring together the best of both worlds, scalability and reliability. The main objective of InOVation&CS is to utilize the power of learning in verification and controller synthesis to overcome both the traditional scalability challenges as well as the recent, data-driven ones.
Paradigm Shift
The key to bringing the two closer than ever is a paradigm shift towards explainability and utilizing structure stemming from the presence of intelligence (human or artificial) in the definition, analysis, and solution of real problems, thus providing more information to the learning parts.
Methodology
InOVation&CS shall provide new, more applicable, and more scalable methodology for producing guaranteed reliable controllers.
Keywords
verification, model checking, Markov decision processes, stochastic games, temporal logics
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 1.995.000 |
| Totale projectbegroting | € 1.995.000 |
Tijdlijn
| Startdatum | 1-6-2025 |
| Einddatum | 31-5-2030 |
| Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- Masarykova univerzitapenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Theoretical Foundations of Advanced SynthesisThis project aims to develop advanced synthesis methods for complex systems by enhancing quality measures, incorporating game-theoretic aspects, and addressing unpredictable environments. | ERC Advanced... | € 2.328.750 | 2022 | Details |
Automated Synthesis of Stochastic Cyber-Physical Systems: A Robust ApproachThis project aims to revolutionize the design of cyber-physical systems by automating robust control software synthesis from high-level requirements, enhancing reliability and reducing costs in safety-critical applications. | ERC Consolid... | € 1.993.756 | 2023 | Details |
LEARN: Learning Efficient Automated Reasoning on the NetLEARN automates reasoning and proof strategies for software certification, providing a web-based framework to enhance safety and security in complex computer systems, reducing costs from software errors. | ERC Proof of... | € 150.000 | 2025 | Details |
Verifiably Safe and Correct Deep Neural NetworksThis project aims to develop scalable verification techniques for large deep neural networks to ensure their safety and correctness in critical systems, enhancing reliability and societal benefits. | ERC Starting... | € 1.500.000 | 2023 | Details |
Realizing the Promise of Higher-Order SMT and Superposition for Interactive VerificationThe Nekoka project aims to enhance higher-order SMT and λ-superposition for automated proof assistance, integrating them into tools for software verification and mathematical formalization. | ERC Consolid... | € 2.000.000 | 2023 | Details |
Theoretical Foundations of Advanced Synthesis
This project aims to develop advanced synthesis methods for complex systems by enhancing quality measures, incorporating game-theoretic aspects, and addressing unpredictable environments.
Automated Synthesis of Stochastic Cyber-Physical Systems: A Robust Approach
This project aims to revolutionize the design of cyber-physical systems by automating robust control software synthesis from high-level requirements, enhancing reliability and reducing costs in safety-critical applications.
LEARN: Learning Efficient Automated Reasoning on the Net
LEARN automates reasoning and proof strategies for software certification, providing a web-based framework to enhance safety and security in complex computer systems, reducing costs from software errors.
Verifiably Safe and Correct Deep Neural Networks
This project aims to develop scalable verification techniques for large deep neural networks to ensure their safety and correctness in critical systems, enhancing reliability and societal benefits.
Realizing the Promise of Higher-Order SMT and Superposition for Interactive Verification
The Nekoka project aims to enhance higher-order SMT and λ-superposition for automated proof assistance, integrating them into tools for software verification and mathematical formalization.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Context-aware adaptive visualizations for critical decision makingSYMBIOTIK aims to enhance decision-making in critical scenarios through an AI-driven, human-InfoVis interaction framework that fosters awareness and emotional intelligence. | EIC Pathfinder | € 4.485.655 | 2022 | Details |
Context-aware adaptive visualizations for critical decision making
SYMBIOTIK aims to enhance decision-making in critical scenarios through an AI-driven, human-InfoVis interaction framework that fosters awareness and emotional intelligence.