Results 1 to 10 of about 81,262 (253)
Logic + probabilistic programming + causal laws
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]
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]
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]
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
DeepProbLog : neural probabilistic logic programming [PDF]
Accepted for spotlight at NeurIPS ...
De Raedt, L. +4 more
core +14 more sources
A Probabilistic Logic Programming Event Calculus [PDF]
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
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]
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]
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
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

