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On the Complexity of the Grounded Semantics for Infinite Argumentation Frameworks

Published: November 27, 2025 | arXiv ID: 2511.22376v1

By: Uri Andrews, Luca San Mauro

Potential Business Impact:

Makes computers reason better with conflicting ideas.

Business Areas:
Artificial Intelligence Artificial Intelligence, Data and Analytics, Science and Engineering, Software

Argumentation frameworks, consisting of arguments and an attack relation representing conflicts, are fundamental for formally studying reasoning under conflicting information. We use methods from mathematical logic, specifically computability and set theory, to analyze the grounded extension, a widely-used model of maximally skeptical reasoning, defined as the least fixed-point of a natural defense operator. Without additional constraints, finding this fixed-point requires transfinite iterations. We identify the exact ordinal number corresponding to the length of this iterative process and determine the complexity of deciding grounded acceptance, showing it to be maximally complex. This shows a marked distinction from the finite case where the grounded extension is polynomial-time computable, thus simpler than other reasoning problems explored in formal argumentation.

Country of Origin
🇺🇸 United States

Page Count
16 pages

Category
Computer Science:
Artificial Intelligence