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CALL FOR PAPERS
PLP 2021: The Eighth Workshop on Probabilistic Logic
Programming
http://stoics.org.uk/plp/plp2021
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A workshop of 37th International Conference on Logic
Programming
September 20-27, 2021
(the event will be virtual)
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** Deadline for submissions: August 1st 2021
Overview
********
Probabilistic logic programming (PLP) approaches have received
much
attention in this century. They address the need to reason about
relational domains under uncertainty arising in a variety of
application domains, such as bioinformatics, the semantic web,
robotics, and many more. Developments in PLP include new languages
that combine logic programming with probability theory, as well as
algorithms that operate over programs in these formalisms.
The workshop encompasses all aspects of combining logic,
algorithms,
programming and probability.
PLP is part of a wider current interest in probabilistic
programming. By promoting probabilities as explicit programming
constructs, inference, parameter estimation and learning
algorithms
can be ran over programs which represent highly structured
probability
spaces. Due to logic programming's strong theoretical
underpinnings,
PLP is one of the more disciplined areas of probabilistic
programming. It builds upon and benefits from the large body of
existing work in logic programming, both in semantics and
implementation, but also presents new challenges to the field. PLP
reasoning often requires the evaluation of large number of
possible
states before any answers can be produced thus breaking the
sequential
search model of traditional logic programs.
While PLP has already contributed a number of formalisms, systems
and
well understood and established results in: parameter estimation,
tabling, marginal probabilities and Bayesian learning, many
questions
remain open in this exciting, expanding field in the intersection
of
AI, machine learning and statistics.
This workshop provides a forum for the exchange of ideas,
presentation
of results and preliminary work, in the following areas
* probabilistic logic programming formalisms
* parameter estimation
* statistical inference
* implementations
* structure learning
* reasoning with uncertainty
* constraint store approaches
* stochastic and randomised algorithms
* probabilistic knowledge representation and reasoning
* constraints in statistical inference
* applications, such as
* * bioinformatics
* * semantic web
* * robotics
* probabilistic graphical models
* Bayesian learning
* tabling for learning and stochastic inference
* MCMC
* stochastic search
* labelled logic programs
* integration of statistical software
This list is by no means exhaustive.
Purpose
********
After seven successful editions of this workshop, the eighth
edition
of PLP will be held at the ICLP virtual conference organised by
the
University of Porto. We hope that this encourages further
collaboration between researchers in PLP and researchers working
in
other areas of ICLP.
Submissions
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Submissions will be managed via EasyChair (to be announced).
Contributions should be prepared in the LNCS style. A mixture of
papers are sought including: new results; work in progress; and
technical summaries of recent substantial contributions. Papers
presenting new results should be 6-15 pages in length. Work in
progress and technical summaries can be shorter (2-5 pages). The
workshop proceedings will clearly indicate the type of each paper.
At least one author of each accepted paper will be required to
attend
the workshop to present the contribution.
Publication
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Informal proceedings will be made available electronically to
attendees and submitted to CEUR Workshop Proceedings repository
(
http://ceur-ws.org/). The proceedings will consist of clearly
marked
sections corresponding to the different types of submissions
accepted.
Deadlines
*********
Papers due: August 1st, 2021
Notification to authors: September 1st, 2021
Camera ready version due: September 10th, 2021
Workshop date: September 20-27, 2021
(all dates are AoE)
Invited Speaker(s)
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TBA
Programme Committee Chairs
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Rafael Penaloza (University of Milano-Bicocca, Italy)
Felix Weitkämper (LMU München, Germany)
Programme Committee
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TBA
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