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Dynamic Probability Logic: Decidability & Computability

Somayeh Chopoghloo, Mahdi Heidarpoor, Massoud Pourmahdian

TL;DR

A proof system HDPL is presented for DPL and it is proved that its canonical model is a computable structure and decidability and computability issues of dynamic probability logic are addressed.

Abstract

In this article, the decidability and computability issues of dynamic probability logic (DPL) are addressed. Firstly, a proof system $\mathcal{H}_{DPL}$ is introduced for DPL and shown that it is weakly complete. Furthermore, this logic has the finite model property and so is decidable. Secondly, a strongly complete proof system HDPL is presented for DPL and proved that its canonical model is a computable structure.

Dynamic Probability Logic: Decidability & Computability

TL;DR

A proof system HDPL is presented for DPL and it is proved that its canonical model is a computable structure and decidability and computability issues of dynamic probability logic are addressed.

Abstract

In this article, the decidability and computability issues of dynamic probability logic (DPL) are addressed. Firstly, a proof system is introduced for DPL and shown that it is weakly complete. Furthermore, this logic has the finite model property and so is decidable. Secondly, a strongly complete proof system HDPL is presented for DPL and proved that its canonical model is a computable structure.

Paper Structure

This paper contains 10 sections, 26 theorems, 23 equations.

Key Result

Lemma 2.8

Let $\varphi$ and $\psi$ be formulas of $\mathcal{L}_{\mathsf{DPL}}$, and $\Gamma$ be a set of formula.

Theorems & Definitions (69)

  • Definition 2.1
  • Definition 2.2
  • Definition 2.3
  • Definition 2.4
  • Definition 2.5
  • Definition 2.6
  • Definition 2.7
  • Lemma 2.8
  • proof
  • Theorem 2.9: Deduction theorem for $\mathsf{DPL}$
  • ...and 59 more