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Researchers refine Gelfond rationality principle for answer set semantics

Researchers have refined the Gelfond Rationality Principle to develop more comprehensive foundational principles for answer set semantics in non-monotonic logic programming. The study questions the mandatory nature of minimal model property, constraint monotonicity, and foundedness, suggesting they may be too restrictive. New principles of well-supportedness, minimality with respect to negation by default, and minimality with respect to epistemic negation are proposed to ensure answer sets are constructible and minimize knowledge. AI

IMPACT Proposes new theoretical foundations for answer set semantics, potentially impacting declarative problem-solving paradigms.

RANK_REASON This is a research paper published on arXiv detailing theoretical advancements in answer set semantics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Researchers refine Gelfond rationality principle for answer set semantics

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yi-Dong Shen, Thomas Eiter ·

    Refining Gelfond Rationality Principle: Towards More Comprehensive Foundational Principles for Answer Set Semantics

    arXiv:2507.01833v2 Announce Type: replace Abstract: Non-monotonic logic programming is the basis for a declarative problem solving paradigm known as answer set programming (ASP). Departing from the seminal definition by Gelfond and Lifschitz in 1988 for simple normal logic progra…