Efficient computation of argumentation semantics 1st Edition by Beishui Liao ISBN 0124104061 9780124104068

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ISBN 10: 0124104061
ISBN 13: 9780124104068
Author: Beishui Liao

Efficient Computation of Argumentation Semantics by Beishui Liao is a comprehensive and pioneering work that addresses one of the fundamental challenges in artificial intelligence and logic-based reasoning: how to efficiently compute various argumentation semantics within complex argumentation frameworks. Published as part of the Intelligent Systems series, this book systematically explores new computational methods, focusing particularly on decomposition-based techniques that significantly improve the performance and scalability of reasoning processes in argumentation theory. The author delves into the theoretical underpinnings of argumentation semantics — including static, dynamic, and partial semantics — while bridging these theories with practical algorithmic strategies aimed at reducing computational complexity. These advances are critical for real-world applications where intelligent systems must process, evaluate, and respond to conflicting information, such as autonomous decision-making, multi-agent systems, and automated reasoning platforms. Liao’s work stands out for its clear presentation of innovative approaches that break down complex argumentation frameworks into manageable components, allowing for more efficient computation without sacrificing accuracy or completeness. By providing both the theoretical foundations and practical implementations of these methods, the book serves as an essential resource for researchers, graduate students, and professionals working in knowledge representation, computational logic, and AI. Moreover, the book’s insights help lay the groundwork for future advancements in argumentation theory, contributing to the development of smarter and more reliable intelligent systems capable of sophisticated reasoning in dynamic and uncertain environments. Overall, this edition represents a significant step forward in the quest to make argumentation semantics computationally tractable and practically applicable across a broad spectrum of disciplines.

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Tags: Beishui Liao, Efficient computation, argumentation semantics