* Notification deadline: it has been delayed until May 30
* The workshop will take place on August 4, 2013
* A pdf with the Workshop Proccedings is available here
* A pdf with the current Programme of the Workshop is available here
Logics provide a formal basis for the study and development of applications and systems in Artificial Intelligence. In the last decades there has been an explosion of logical formalisms capable of dealing with a variety of reasoning tasks that require an explicit representation of quantitative or qualitative weights associated with classical or modal logical formulas (in a form or another).
The semantics of the weights refer to a large variety of intended meanings: belief degrees, preference degrees, truth degrees, trust degrees, etc. Examples of such weighted formalisms include probabilistic or possibilistic uncertainty logics, preference logics, fuzzy description logics, different forms of weighted or fuzzy logic programs under various semantics, weighted argumentation systems, logics handling inconsistency with weights, logics for graded BDI agents, logics of trust and reputation, logics for handling graded emotions, etc.
The aim of the IJCAI 2013 workshop WL4AI'13 , second edition of the workshop with the same name successfully held past August collocated with ECAI-2012, is to bring together researchers to discuss about the different motivations for the use of weighted logics in AI, the different types of calculi that are appropriate for these needs, and the problems that arise when putting them at work.
• Mingshen Ying (University of Technology Sidney, Australia) will deliver an invited talk.
• Revised and extended workshop papers will be welcome for submission to an special issue of the Journal of Applied Logic that will be prepared after the workshop.