2024
AAAI
AAAI 2024
Conversational Modeling for Constraint Satisfaction
Abstract
Abstract Many problems, from Sudoku to factory scheduling, can be regarded as constraint satisfaction problems. A key component of real world problem solving is a conversation between a constraint programming expert and a problem domain expert to specify the problem to be solved. This presentation argues that the time is ripe for progress in automating the constraint programmer side of this conversation and suggests promising avenues for this pursuit.
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Interdisciplinary Bridge
— Artificial Intelligence and Knowledge & Reasoning and Mathematics & Optimization
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Keyword Pioneer
— problem specification
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy
Authors
Topics
Artificial Intelligence > Core AI > Human-AI Interaction
Artificial Intelligence > Core AI > Planning
Knowledge & Reasoning > Reasoning > Automated Planning
Mathematics & Optimization > Optimization > Combinatorial Optimization
Artificial Intelligence > Core AI > Dialogue Systems
Artificial Intelligence > Core AI > Automated Reasoning