In the past, building system engineering relied on explicit, rule-based programming logic. Requirements were square, engineers wrote deterministic code with completely predictable inputs and outputs. Testing was straightforward because developers knew the single correct answer for every scenario. System requirements focused purely on functional logic, hardware constraints, and rigid execution paths. AI-concepts were rarely integrated into core enterprise software infrastructure.

Today, we design and deploy complex, probabilistic systems at scale shifting to  hybrid approach. Modern enterprise architectures increasingly blend data-driven neural networks with rigorous rule-based symbolic logic. However, these multi-paradigm hybrid systems lack traditional test oracles, making standard bug detection methods obsolete. We face new, systemic issues like logic-model misalignment, silent degradation, and unexpected runtime hallucinations. Engineers must completely rethink specifications, balancing statistical performance boundaries with hardcoded deterministic constraints.

Tomorrow, autonomous agentic frameworks will run global infrastructure. These independent, multi-agent networks will execute tasks using complex commercial and open-source licenses. Managing these deployments requires entirely new workflows for software governance, liability engineering, and runtime isolation boundaries. Agentic innovation might safely drive the future solutions.
This new event bridges the gap between theoretical hybrid reasoning and practical agentic framework implementation. It offers a dedicated space to establish standard, compliant, and dependable blueprints for tomorrow’s intelligent systems.

We invite researchers, systems engineering professionals, and practitioners to submit original papers across the following themes.