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UID:/NewsandEvents/Archives/2022/newsitem/13438/1-
 August-2022-The-9th-Workshop-on-Probabilistic-Logi
 c-Programming-PLP-2022-Haifa-Israel
DTSTAMP:20220220T222959
SUMMARY:The 9th Workshop on Probabilistic Logic Pr
 ogramming (PLP 2022), Haifa, Israel
DTSTART;VALUE=DATE:20220801
DTEND;VALUE=DATE:20220801
LOCATION:Haifa, Israel
DESCRIPTION:Probabilistic logic programming (PLP) 
 approaches have received much attention in this ce
 ntury. They address the need to reason about relat
 ional domains under uncertainty arising in a varie
 ty of application domains, such as bioinformatics,
  the semantic web, robotics, and many more. Develo
 pments in PLP include new languages that combine l
 ogic programming with probability theory as well a
 s algorithms that operate over programs in these f
 ormalisms. By promoting probabilities as explicit 
 programming constructs, inference, parameter estim
 ation and learning algorithms can be run over prog
 rams that represent highly structured probability 
 spaces. Partly due to logic programming's strong t
 heoretical underpinnings, PLP is fast becoming a v
 ery well founded area of probabilistic programming
 .  This workshop provides a forum for the exchange
  of ideas, presentation of results and preliminary
  work in all areas related to probabilistic logic 
 programming. While PLP has already contributed a n
 umber of formalisms, systems and well understood a
 nd established results in: parameter estimation, t
 abling, marginal probabilities and Bayesian learni
 ng, many questions remain open in this exciting, e
 xpanding field in the intersection of AI, machine 
 learning and statistics. The workshop encompasses 
 all aspects of combining logic, algorithms, progra
 mming and probability. It aims to bring together r
 esearchers in all aspects of probabilistic logic p
 rogramming, including theoretical work, system imp
 lementations and applications. Interactions betwee
 n theoretical and applied minded researchers are e
 ncouraged.  A mixture of papers are sought includi
 ng: new results, work in progress as well as techn
 ical summaries of recent substantial contributions
 . Papers presenting new results should be 6-15 pag
 es in length. Work in progress and technical summa
 ries can be shorter (2-5 pages). Contributions sho
 uld be prepared in the 1-column CEURART style. Sub
 missions will be managed via EasyChair. At least o
 ne author of each accepted paper will be required 
 to attend the workshop to present the contribution
 .
X-ALT-DESC;FMTTYPE=text/html:<div>\n  <p>Probabili
 stic logic programming (PLP) approaches have recei
 ved much attention in this century. They address t
 he need to reason about relational domains under u
 ncertainty arising in a variety of application dom
 ains, such as bioinformatics, the semantic web, ro
 botics, and many more. Developments in PLP include
  new languages that combine logic programming with
  probability theory as well as algorithms that ope
 rate over programs in these formalisms. By promoti
 ng probabilities as explicit programming construct
 s, inference, parameter estimation and learning al
 gorithms can be run over programs that represent h
 ighly structured probability spaces. Partly due to
  logic programming's strong theoretical underpinni
 ngs, PLP is fast becoming a very well founded area
  of probabilistic programming.</p>\n\n  <p>This wo
 rkshop provides a forum for the exchange of ideas,
  presentation of results and preliminary work in a
 ll areas related to probabilistic logic programmin
 g. While PLP has already contributed a number of f
 ormalisms, systems and well understood and establi
 shed results in: parameter estimation, tabling, ma
 rginal probabilities and Bayesian learning, many q
 uestions remain open in this exciting, expanding f
 ield in the intersection of AI, machine learning a
 nd statistics. The workshop encompasses all aspect
 s of combining logic, algorithms, programming and 
 probability. It aims to bring together researchers
  in all aspects of probabilistic logic programming
 , including theoretical work, system implementatio
 ns and applications. Interactions between theoreti
 cal and applied minded researchers are encouraged.
 </p>\n</div><div>\n  <p>A mixture of papers are so
 ught including: new results, work in progress as w
 ell as technical summaries of recent substantial c
 ontributions. Papers presenting new results should
  be 6-15 pages in length. Work in progress and tec
 hnical summaries can be shorter (2-5 pages).&nbsp;
 Contributions should be prepared in the 1-column C
 EURART style. Submissions will be managed via Easy
 Chair. At least one author of each accepted paper 
 will be required to attend the workshop to present
  the contribution.</p>\n</div>
URL:http://stoics.org.uk/~plp2022/
CONTACT:Roberta Calegari at roberta.calegari at un
 ibo.it
CONTACT:Luke Dickens at l.dickens at ucl.ac.uk
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