A First-Order Logic for Reasoning about Knowledge and Probability

01/21/2019
by   Siniša Tomović, et al.
0

We present a first-order probabilistic epistemic logic, which allows combining operators of knowledge and probability within a group of possibly infinitely many agents. The proposed framework is the first order extension of the logic of Fagin and Halpern from (J.ACM 41:340-367,1994). We define its syntax and semantics, and prove the strong completeness property of the corresponding axiomatic system.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/03/2014

Reasoning about Knowledge and Strategies: Epistemic Strategy Logic

In this paper we introduce Epistemic Strategy Logic (ESL), an extension ...
research
12/13/2022

Logic of Combinatory Logic

We develop a classical propositional logic for reasoning about combinato...
research
11/19/2019

Stit Semantics for Epistemic Notions Based on Information Disclosure in Interactive Settings

We characterize four types of agentive knowledge using a stit semantics ...
research
09/11/2018

Resource-driven Substructural Defeasible Logic

Linear Logic and Defeasible Logic have been adopted to formalise differe...
research
01/23/2014

Interactions between Knowledge and Time in a First-Order Logic for Multi-Agent Systems: Completeness Results

We investigate a class of first-order temporal-epistemic logics for reas...
research
03/27/2013

Probability as a Modal Operator

This paper argues for a modal view of probability. The syntax and semant...
research
09/17/2023

Logic of Awareness in Agent's Reasoning

The aim of this study is to formally express awareness for modeling prac...

Please sign up or login with your details

Forgot password? Click here to reset