Results 11 to 20 of about 1,042,976 (291)
Probabilistic Justification Logic [PDF]
Journal of Logic and Computation, 2015 Abstract We present a probabilistic justification logic, $\mathsf{PPJ}$, as a framework for uncertain reasoning about rational belief, degrees of belief and justifications. We establish soundness and strong completeness for $\mathsf{PPJ}$ with respect to the class of so-called measurable Kripke-like models and show that the ...
Ioannis Kokkinis +2 more
core +8 more sources
Direct design of ground-state probabilistic logic using many-body interactions for probabilistic computing [PDF]
Scientific ReportsIn this work, an innovative design model aimed at enhancing the efficacy of ground-state probabilistic logic with a binary energy landscape (GSPL-BEL) is presented.
Yihan He +3 more
doaj +2 more sources
Causal Structure Learning Assumptions Shape Counterfactual Safety: Expert-Guided Constraints vs. Data-Driven DAGs with Probabilistic Logic Twin Networks [PDF]
EntropyWe investigate how causal DAG learning algorithms and structural assumptions influence counterfactual decision safety. Four structure learning regimes are compared: expert-guided edge-constrained HC+BIC, unconstrained HC+BIC, MMPC+HC+BIC, and the PC ...
Héctor Avilés +11 more
doaj +2 more sources
Human-Guided Learning for Probabilistic Logic Models [PDF]
Frontiers in Robotics and AI, 2018 Advice-giving has been long explored in the artificial intelligence community to build robust learning algorithms when the data is noisy, incorrect or even insufficient. While logic based systems were effectively used in building expert systems, the role
Phillip Odom, Sriraam Natarajan
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A Probabilistic Deontic Logic [PDF]
, 2021 In this article, we introduce a logic for reasoning about probability of normative statements. We present its syntax and semantics, describe the corresponding class of models, provide an axiomatization for this logic and prove that the axiomatization is sound and complete. We also prove that our logic is decidable.
de Wit, Vincent +2 more
openaire +6 more sources
Probabilistic logic learning [PDF]
SIGKDD Explorations: Newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining, 2003 The past few years have witnessed an significant interest in probabilistic logic learning, i.e. in research lying at the intersection of probabilistic reasoning, logical representations, and machine learning. A rich variety of different formalisms and learning techniques have been developed.
Luc de Raedt
exaly +3 more sources
A History of Probabilistic Inductive Logic Programming
Frontiers in Robotics and AI, 2014 The field of Probabilistic Logic Programming (PLP) has seen significant advances in the last 20 years, with many proposals for languages that combine probability with logic programming.
Fabrizio eRiguzzi +2 more
doaj +3 more sources
Probabilistic Justification Logic
Philosophies, 2018 Justification logics are constructive analogues of modal logics. They are often used as epistemic logics, particularly as models of evidentialist justification.
Joseph Lurie
doaj +3 more sources
Probabilistic logic with independence
International Journal of Approximate Reasoning, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fabio Gagliardi Cozman
exaly +5 more sources
The probabilistic logic of communication and change
Journal of Logic and Computation, 2016 Abstract This article introduces a Probabilistic Logic of Communication and Change , which captures in a unified framework subjective probability, arbitrary levels of mutual knowledge and a mechanism for multi-agent Bayesian updates that can model complex social-epistemic scenarios, such as informational cascades.
Achimescu, A., Baltag, A., Sack, J.
openaire +5 more sources