Constrained ABA (CABA) introduces non-ground arguments with constrained variables and defines semantics that conservatively generalize standard ground ABA.
Artificial intelligence 93(1-2), pp
2 Pith papers cite this work. Polarity classification is still indexing.
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LogAG is presented as an algebraic graded logic that encodes argument systems and thereby captures default logic, autoepistemic logic, circumscription, negation as failure, possibilistic logic, and Makinson-rational non-monotonic inference relations.
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Constrained Assumption-Based Argumentation Frameworks
Constrained ABA (CABA) introduces non-ground arguments with constrained variables and defines semantics that conservatively generalize standard ground ABA.
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A Unified Algebraic Framework for Non-Monotonicity
LogAG is presented as an algebraic graded logic that encodes argument systems and thereby captures default logic, autoepistemic logic, circumscription, negation as failure, possibilistic logic, and Makinson-rational non-monotonic inference relations.