<html><body><div style="color:#000; background-color:#fff; font-family:times new roman, new york, times, serif;font-size:12pt"><div>Apologies for Multiple Postings<br>===============================================================</div><div>IJCAI 2013 Workshop WL4AI</div><div>Weighted Logics for AI: logic, uncertain beliefs, preferences, partial truth</div><div>===============================================================</div><div>(3-5 August, 2013, Beijng, China)<br>* Web site: <a href="http://www.iiia.csic.es/wl4ai-2013/">http://www.iiia.csic.es/wl4ai-2013/</a><br>* Second Call for Papers:<br>-------------------------------<br>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.</div><div>The underlying logics range from fully compositional systems, like systems of many-valued or fuzzy logic, to non-compositional ones like modal-like epistemic logics for reasoning about uncertainty, as probabilistic or possibilistic logics, or even some combination of them.<br>In this workshop, continuation of the successful workshop with the same name held at ECAI-2012, the aim 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. Any paper on a weighted logic in relation to any of the following topics (but not limited to) with an AI perspective is welcome:</div><div>- argumentation systems<br>- belief revision<br>- description logic<br>- graded BDI agents<br>- graded emotions<br>- graded truth<br>- inconsistency handling<br>- information fusion<br>- logic programs<br>- non monotonic reasoning<br>- preference modeling<br>- trust and reputation<br>- uncertainty<br>- applications of weighted logics (some discussion on the kind of weighted logic used should be included in the paper)</div><div>Authors are especially encouraged to discuss the intended semantics of the weights they use in their paper. Papers can be submitted electronically via <a
href="https://www.easychair.org/conferences/?conf=wl4ai">https://www.easychair.org/conferences/?conf=wl4ai</a>.</div><div> </div><div>* Post-Workshop Special Issue<br>-----------------------------------<br>Revised and extended workshop papers will be welcome for submission to a special issue of the Journal of Applied Logic (published by Elsevier) that will be prepared after the workshop (Journal of Applied Logic is a SCI-indexed journal with impact factor 0.574).</div><div> </div><div>* Important Dates:<br>--------------------------<br>April 10, 2013 - Abstract deadline<br>April 26, 2013 - Submission of contributions to the workshop<br>May 25, 2013 - Workshop paper acceptance notification<br>June 5, 2013 - Deadline for final camera ready copy to workshop organizer</div><div> </div><div>* Already confirmed Invited Speaker(s) <br>----------------------------------------------<br>Professor Mingsheng Ying, University of Technology Sidney,
Australia</div><div> </div><div>* Workshop co-chairs:<br>-------------------------------<br>Lluis Godo, IIIA-CSIC, Spain<br>Henri Prade, IRIT-CNRS, France<br>Guilin Qi, Southeast University, China</div><div><br> </div></div></body></html>