A Non-Deterministic Semantics for Tractable Inference

نویسندگان

  • James M. Crawford
  • David W. Etherington
چکیده

Unit resolution is arguably the most useful known algorithm for tractable reasoning in propositional logic. Intuitively, if one knows a, b, and a ∧ b ⊃ c, then c should be an obvious implication. However, devising a tractable semantics that allows unit resolution has proven to be an elusive goal. We propose a 3-valued semantics for a tractable fragment of propositional logic that is inherently non-deterministic: the denotation of a formula is not uniquely determined by the denotation of the variables it contains. We show that this semantics yields a tractable, sound and complete, decision procedure. We generalize this semantics to a family of semantics, tied to Dalal’s notion of intricacy, of increasing deductive power and computational com-

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Linear Models of Computation and Program Learning

We consider two classes of computations which admit taking linear combinations of execution runs: probabilistic sampling and generalized animation. We argue that the task of program learning should be more tractable for these architectures than for conventional deterministic programs. We look at the recent advances in the “sampling the samplers” paradigm in higher-order probabilistic programmin...

متن کامل

Fuzzy Inference System Approach in Deterministic Seismic Hazard, Case Study: Qom Area, Iran

Seismic hazard assessment like many other issues in seismology is a complicated problem, which is due to a variety of parameters affecting the occurrence of an earthquake. Uncertainty, which is a result of vagueness and incompleteness of the data, should be considered in a rational way. Using fuzzy method makes it possible to allow for uncertainties to be considered. Fuzzy inference system,...

متن کامل

Dynamic Bayesian Networks with Deterministic Latent Tables

The application of latent/hidden variable Dynamic Bayesian Networks is constrained by the complexity of marginalising over latent variables. For this reason either small latent dimensions or Gaussian latent conditional tables linearly dependent on past states are typically considered in order that inference is tractable. We suggest an alternative approach in which the latent variables are model...

متن کامل

Fuzzy Inference System Approach in Deterministic Seismic Hazard, Case Study: Qom Area, Iran

Seismic hazard assessment like many other issues in seismology is a complicated problem, which is due to a variety of parameters affecting the occurrence of an earthquake. Uncertainty, which is a result of vagueness and incompleteness of the data, should be considered in a rational way. Using fuzzy method makes it possible to allow for uncertainties to be considered. Fuzzy inference system,...

متن کامل

Probabilistic Program Abstractions

Abstraction is a fundamental tool for reasoning about complex systems. Program abstraction has been utilized to great effect for analyzing deterministic programs. At the heart of program abstraction is the relationship between a concrete program, which is difficult to analyze, and an abstract program, which is more tractable. Program abstractions, however, are typically not probabilistic. We ge...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998