Context-Aware Cognitive Control: Designing with Constraints
In rural systems where decisions must be made with partial information, unstable infrastructure, and multiple social factors, conventional control systems fall short. My research proposes a new model: the Context-Aware Cognitive Control System (CACCS), under Thrust 5 of the Smart Services for Sustainable Societies initiative. It offers a satisficing (rather than optimizing) architecture for Cyber-Physical-Social Systems (CPSS) that can learn and adapt over time. I work as a Research Assistant in the Systems Realization Laboratory at the University of Oklahoma under the guidance of Professor Janet K. Allen and Professor Farrokh Mistree.
Drawing on the Verification and Validation (V&V) Square proposed by Mistree et al., my work explores how to build control frameworks that can evolve under uncertainty, adapt policies, and integrate local knowledge into intelligent decision-making. This approach doesn’t chase ideal outcomes but prioritizes decisions that are “good enough” to meet complex, real-world needs, especially in underserved or rural communities.
The CACCS model integrates insights from:
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Function-Behavior-Structure (FBS) Ontology for requirement modeling (Gero, 1990)
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Dilemma Triangle Method (DTM) to analyze tensions like local knowledge vs. limited resources.
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Peter Senge’s Systems Archetypes (1990) to understand patterns like "Limits to Growth" and "Shifting the Burden."
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Symbolic AI and fuzzy logic to encode evolving stakeholder expectations and soft constraints
Rather than treating rural systems as static or purely technical, CACCS is built to evolve through feedback, learning, and adaptation. It is informed by real-life examples like:
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Decision rules updated based on social feedback and resource availability
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Generative AI aiding policy simulation, while maintaining human agency
Ultimately, the framework aims to make decision-making intelligible, teachable, and justifiable in context-rich and constraint-heavy environments.
Courses I have taken-
1.
Spring 2025. Systems Engineering. Grade - A
2.
Spring 2025. Software Tools- Dec Support. Grade - A
3.
Fall 2024. Designing for Open Innovation. Grade - B
4.
Fall 2024. Fund of Engr Stat Analysis. Grade - A
