Results 1 to 10 of about 81,262 (253)

Logic + probabilistic programming + causal laws

open access: yesRoyal Society Open Science, 2023
Probabilistic planning attempts to incorporate stochastic models directly into the planning process, which is the problem of synthesizing a sequence of actions that achieves some objective for a putative agent.
Vaishak Belle
doaj   +6 more sources

Probabilistic (logic) programming concepts [PDF]

open access: yesMachine Learning, 2015
A multitude of different probabilistic programming languages exists today, all extending a traditional programming language with primitives to support modeling of complex, structured probability distributions.
A Kimmig   +37 more
core   +6 more sources

Meta-analysis of the functional neuroimaging literature with probabilistic logic programming [PDF]

open access: yesScientific Reports, 2022
Inferring reliable brain-behavior associations requires synthesizing evidence from thousands of functional neuroimaging studies through meta-analysis.
Majd Abdallah   +3 more
doaj   +2 more sources

Coalgebraic Semantics for Probabilistic Logic Programming [PDF]

open access: yesLogical Methods in Computer Science, 2021
Probabilistic logic programming is increasingly important in artificial intelligence and related fields as a formalism to reason about uncertainty. It generalises logic programming with the possibility of annotating clauses with probabilities. This paper
Tao Gu, Fabio Zanasi
doaj   +7 more sources

A Probabilistic Logic Programming Event Calculus [PDF]

open access: yesTheory and Practice of Logic Programming, 2013
We present a system for recognising human activity given a symbolic representation of video content. The input of our system is a set of time-stamped short-term activities (STA) detected on video frames.
ALEXANDER ARTIKIS   +27 more
core   +2 more sources

Probabilistic Constraint Logic Programming

open access: yes, 1997
This paper addresses two central problems for probabilistic processing models: parameter estimation from incomplete data and efficient retrieval of most probable analyses.
Riezler, Stefan
core   +4 more sources

Direct design of ground-state probabilistic logic using many-body interactions for probabilistic computing [PDF]

open access: yesScientific Reports
In this work, an innovative design model aimed at enhancing the efficacy of ground-state probabilistic logic with a binary energy landscape (GSPL-BEL) is presented.
Yihan He   +3 more
doaj   +2 more sources

On the Strong Equivalences for LPMLN Programs [PDF]

open access: yesLogical Methods in Computer Science, 2021
LPMLN is a powerful knowledge representation and reasoning tool that combines the non-monotonic reasoning ability of Answer Set Programming (ASP) and the probabilistic reasoning ability of Markov Logic Networks (MLN).
Bin Wang   +3 more
doaj   +1 more source

Probabilistic Logic Models for the Lightning Network

open access: yesCryptography, 2022
The Lightning Network (LN) has emerged as one of the prominent solutions to overcome the biggest limit of blockchain based on PoW: scalability. LN allows for creating a layer on top of an existing blockchain where users can send payments and micro ...
Damiano Azzolini, Fabrizio Riguzzi
doaj   +1 more source

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