2018
IJCAI
IJCAI 2018
Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving
Abstract
Abstract dialectical frameworks (ADFs) constitute one of the most powerful formalisms in abstract argumentation. Their high computational complexity poses, however, certain challenges when designing efficient systems. In this paper, we tackle this issue by (i) analyzing the complexity of ADFs under structural restrictions, (ii) presenting novel algorithms which make use of these insights, and (iii) empirically evaluating a resulting implementation which relies on calls to SAT solvers.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Mathematics & Optimization
🧭
Keyword Pioneer
— abstract dialectical framework
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > Multi-Agent Systems
Machine Learning > Optimization & Theory > Optimization
Knowledge & Reasoning > Reasoning > Automated Reasoning
Mathematics & Optimization > Optimization > Combinatorial Optimization
Computer Science > Foundations > Algorithms
Mathematics & Optimization > Optimization > Discrete Optimization
Artificial Intelligence > Core AI > Reasoning