Date of Award
Spring 5-2-2025
Document Type
Thesis
Degree Name
Master of Arts (MA)
Department
Computer Science
First Advisor
Anita Raja
Second Advisor
Felisa Vazquez-Abad
Academic Program Adviser
Subash Shankar
Abstract
This research presents MARCO—a cognitive framework for Intelligent User Interfaces that uses meta-reasoning for context-aware adaptation across diverse tasks. It integrates multiple reasoning modules coordinated by a Meta-Cognitive Unit that selects strategies based on evolving demands. Evaluations show MARCO outperforms baselines in reasoning accuracy and computational efficiency.
Recommended Citation
Hsu, Jeffrey, "Intuiting Interaction: Meta-Reasoning and Meta-Learning as Foundations for Intelligent User Interfaces" (2025). CUNY Academic Works.
https://academicworks.cuny.edu/hc_sas_etds/1329
Included in
Artificial Intelligence and Robotics Commons, Graphics and Human Computer Interfaces Commons, Theory and Algorithms Commons
