22nd UK Symposium on Case-Based Reasoning (UKCBR 2017)
Tuesday, 12 December 2017, Cambridge, UK
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Call for Papers
Submissions are invited for the 22nd UK Symposium on Case-Based Reasoning. The symposium will be a relatively informal occasion where you can meet CBR colleagues and exchange news, views and opinions as well as presenting and/or learning about the work of other researchers and practitioners. As in the last few years, the symposium will again be held in Cambridge, jointly with the AI-2017 conference on artificial intelligence and its applications, organised by the Specialist Group on AI (SGAI).
AI-2017 is the thirty-seventh International Conference on Artificial Intelligence. The venue for workshop and conference will be Peterhouse College. UKCBR will run in parallel with the AI-2017 workshops on the first day of the conference.
A special rate will be available for those attending AI-2017 on the following two days. SGAI are also subsidising a reduced rate for non-presenting students.
A warm invitation is extended also to researchers from outside the UK to submit a paper, or otherwise attend.
Scope of the Symposium
Paper submissions are invited on any aspect of case-based reasoning. Papers on practical applications of CBR will be particularly welcome. Possible topics include, but are not restricted to:
The accepted papers will be published and indexed online.
The papers presented at each of the last ten UK CBR Workshops have been published as special editions of the BCS SGAI journal Expert Update. It is expected that this will also be the case this year.
Miltos Petridis (Chair)
Please submit your paper, which should not be more than 12 pages in length, to the EasyChair system.
Your paper will be required to be in the Springer LNCS/LNAI format, outlined at:
Fuller formatting instructions for the final camera-ready copy will be sent with the acceptance notification.
Submissions due: 13 October 2017
Home page of current UKCBR workshop: http://ukcbr.org.uk
Details of AI-2017 conference: http://www.bcs-sgai.org/ai2017/