Uncertain Reasoning In Justification Logic


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Uncertain Reasoning in Justification Logic


Uncertain Reasoning in Justification Logic

Author: Ioannis Kokkinis

language: en

Publisher: Lulu.com

Release Date: 2016-06


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This thesis studies the combination of two well known formal systems for knowledge representation: probabilistic logic and justification logic. Our aim is to design a formal framework that allows the analysis of epistemic situations with incomplete information. In order to achieve this we introduce two probabilistic justification logics, which are defined by adding probability operators to the minimal justification logic J. We prove soundness and completeness theorems for our logics and establish decidability procedures. Both our logics rely on an infinitary rule so that strong completeness can be achieved. One of the most interesting mathematical results for our logics is the fact that adding only one iteration of the probability operator to the justification logic J does not increase the computational complexity of the logic.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty


Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author: Gabriele Kern-Isberner

language: en

Publisher: Springer Nature

Release Date: 2019-09-04


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This book constitutes the refereed proceedings of the 15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2019, held in Belgrade, Serbia, in September 2019. The 41 full papers presented together with 3 abstracts of invited talks inn this volume were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections named: Argumentation; Belief Functions; Conditional, Default and Analogical Reasoning; Learning and Decision Making; Precise and Imprecise Probabilities; and Uncertain Reasoning for Applications.

Probabilistic Extensions of Various Logical Systems


Probabilistic Extensions of Various Logical Systems

Author: Zoran Ognjanović

language: en

Publisher: Springer Nature

Release Date: 2020-07-17


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The contributions in this book survey results on combinations of probabilistic and various other classical, temporal and justification logical systems. Formal languages of these logics are extended with probabilistic operators. The aim is to provide a systematic overview and an accessible presentation of mathematical techniques used to obtain results on formalization, completeness, compactness and decidability. The book will be of value to researchers in logic and it can be used as a supplementary text in graduate courses on non-classical logics.