[PlanetKR] Workshop on Optimisation and Explanation in AI (OXAI) at IJCAI 2019: Call for Papers (submissions by May 17)

[Kristijonas Čyras]

Dear colleague,



Please consider contributing and/or forwarding to the appropriate groups
the following opportunity to submit work to the:



*O*ptimisation and E*x*planation in *AI* (*OXAI*) workshop

https://protect-au.mimecast.com/s/S6I0CjZ1nVUjOny0sWHYVG?domain=doc.ic.ac.uk

10 August 2019



To be held with



The 28th International Joint Conference on Artificial Intelligence (*IJCAI*
 2019)

https://protect-au.mimecast.com/s/Ucm4Ck81oVHnwOqvfVKWg7?domain=ijcai19.org

Macao, China



Paper submission deadline: May 17



---



*A short Call for Papers*



The need for developing intelligent explainable systems has been raised,
echoing the call for realising explainable AI, which seeks building
machine-led decision making that is transparent, interpretable, explainable
and accountable. In this context, Optimisation and Explanations in AI (OXAI)
will address the need for *explainable optimisation techniques by employing
formal AI methods* and explore the possibility of *scaling and improving
explainable AI using optimisation techniques*. The workshop will bring
researchers and industry experts from (traditional) optimisation domains
such as operations research, planning and scheduling together with experts
working on explainable AI, including but not limited to symbolic AI.



Complete description: https://protect-au.mimecast.com/s/S6I0CjZ1nVUjOny0sWHYVG?domain=doc.ic.ac.uk



We seek works on explaining computational optimisation with formal AI
methods and scaling explainable AI approaches with optimisation methods. In
particular, we solicit works on:

·        Techniques

-        Computational optimisation and constraint programming

-        Planning

-        Scheduling

-        Knowledge engineering

-        Knowledge representation and reasoning

-        Symbolic methods

-        Logic-based approaches

-        Argumentation

-        Abduction

-        Verification

·        Applications of explainable optimisation and/or scalable
explanations for

-        Manufacturing scheduling

-        Autonomous agents

-        Resource allocation

-        Software testing

-        Robot planning

-        Machine learning



We welcome original contributions in the form of mature papers or work in
progress.



*Submission Information*

We welcome papers in between *4 to 9* pages in IJCAI-19 format
<https://protect-au.mimecast.com/s/LZAUClx1pVUoM2zlhyDr2J?domain=ijcai.org>.
At least one author of any accepted paper will need to register by the
early registration deadline (TBA) and attend the workshop.



Submission system: Easychair
<https://protect-au.mimecast.com/s/d6qVCmO5EVT5MjRqh9OBtp?domain=easychair.org>.



Important Dates

   - *Paper submission*: *May 17*
   - Paper notification: June 14
   - Workshop: August 10



*Organisers*

Contact us at: oxai19 at outlook.com

Kristijonas Čyras <https://protect-au.mimecast.com/s/8KLXCnx1zVUGW76VhmDce6?domain=doc.ic.ac.uk> (Imperial College
London)

Xiuyi Fan
<https://protect-au.mimecast.com/s/cb1pCoV1O9tXwrKmtoT82H?domain=swansea.ac.uk> (Swansea
University)

Dimitrios Letsios <https://protect-au.mimecast.com/s/PI-xCp81z6HzwnxZS7yQtW?domain=doc.ic.ac.uk> (Imperial College
London)
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