The Complexity of Limited Belief Reasoning -- The Quantifier-Free Case

05/08/2018
by   Yijia Chen, et al.
0

The classical view of epistemic logic is that an agent knows all the logical consequences of their knowledge base. This assumption of logical omniscience is often unrealistic and makes reasoning computationally intractable. One approach to avoid logical omniscience is to limit reasoning to a certain belief level, which intuitively measures the reasoning "depth." This paper investigates the computational complexity of reasoning with belief levels. First we show that while reasoning remains tractable if the level is constant, the complexity jumps to PSPACE-complete -- that is, beyond classical reasoning -- when the belief level is part of the input. Then we further refine the picture using parameterized complexity theory to investigate how the belief level and the number of non-logical symbols affect the complexity.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/04/2017

A Reasoning System for a First-Order Logic of Limited Belief

Logics of limited belief aim at enabling computationally feasible reason...
research
05/12/2014

An Abductive Framework for Horn Knowledge Base Dynamics

The dynamics of belief and knowledge is one of the major components of a...
research
05/06/2022

A Logic-based Tractable Approximation of Probability

We provide a logical framework in which a resource-bounded agent can be ...
research
02/06/2013

Computational Advantages of Relevance Reasoning in Bayesian Belief Networks

This paper introduces a computational framework for reasoning in Bayesia...
research
09/14/2018

Reasoning about Discrete and Continuous Noisy Sensors and Effectors in Dynamical Systems

Among the many approaches for reasoning about degrees of belief in the p...
research
08/25/2013

Dynamic Reasoning Systems

A dynamic reasoning system (DRS) is an adaptation of a conventional for...
research
03/13/2013

Reasoning With Qualitative Probabilities Can Be Tractable

We recently described a formalism for reasoning with if-then rules that ...

Please sign up or login with your details

Forgot password? Click here to reset