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DX 2017 : 28th International Workshop on Principles of Diagnosis


When Sep 26, 2017 - Sep 29, 2017
Where Brescia, Italy
Submission Deadline May 31, 2017
Notification Due Jun 21, 2017
Final Version Due Jul 21, 2017
Categories    artificial intelligence   computer science

Call For Papers


Being rooted in the Artificial Intelligence (AI) community, since 1989, the aim of the annual DX Workshop has been to unite researchers and practitioners with diverse backgrounds in order to leverage research in the global context of diagnosis, that is, the identification of the root cause(s) for encountered malfunctions. The DX workshop has been a forum to present state-of-the-art research and experience reports, exchange and discuss emerging ideas, as well as debate current issues and envisioned future challenges. Relevant topics are related (but not limited) to fault diagnosis, monitoring, testing, debugging, verification, reconfiguration, fault-adaptive control, and repair.

In 2017, the 28th International Workshop on Principles of Diagnosis (DX'17) will take place in Brescia, Italy, from September 26th to 29th. We welcome submissions on any diagnosis-related topic, including the following ones:

Formal theories and computation methods for diagnosis, including fault monitoring, detection and isolation, as well as testing, repair and therapy, reconfiguration, fault tolerance, and diagnosability analysis.
Models for diagnosis, including discrete, discrete-event, qualitative, continuous, hybrid, probabilistic, behavioral, and functional models, as well as models resulting from approximation, abstraction, refinement, and reformulation approaches. Modeling approaches that scale to large systems are of specific interest.
Diagnosis processes, including strategies for measurement selection, active diagnosis/testing, sensor placement, embedded diagnosis, preventive diagnosis, fault adaptive control, distributed diagnosis, as well as human interaction with the diagnosis engine and other usability issues.
Computational issues in diagnosis, addressing combinatorial (and state) explosion, the exploitation of structural and hierarchical knowledge, focusing strategies and heuristics, resource-bounded reasoning, requirements and restrictions related to real-time environments, and pre-compilation.
Connections and interplay between (AI-based) diagnosis methods and methods from related areas or tasks such as: FDI, control theory, statistics, machine learning, knowledge representation, planning, optimization, autonomous systems, safety, verification, software engineering, debugging, as well as hardware instrumentation and testing.
(Real-world) applications of diagnosis, including scenarios in space, transportation, aeronautics, robotics, manufacturing, energy, networks and services, as well as medical domains. Case studies concerning a (successful or failed) technology transfer to a specific application are especially welcome.

As a special topic this year, we would like to specifically encourage submissions focusing on ``Diagnosis and Repair of Embedded Systems - from IoT Devices to Space Probes''.

Although DX has been traditionally a specialized workshop without archival proceedings, this year, authors can choose whether their accepted papers are published in official, archival proceedings or not (the choice will not influence acceptance decisions). In addition, papers recently published at major conferences (notably AAAI, IJCAI, ECAI, ...) can be presented on invitation. That is, while these papers will not undergo a detailed peer review, light-weight reviews of the original papers (submitted in the original format) will be the basis for deciding acceptance. These papers will not be included in the archival proceedings, but a 300 word abstract of the talk (like for accepted regular submissions that do not appear in the proceedings) can be mentioned in the front matter if the copyright of the original paper allows it.

PhD students may submit a description of their research/thesis of up to five pages, to be considered for presentation at a special PhD panel. Stay tuned for further announcements on this track!

Submissions must not be longer than 8 pages (excluding references, 5 pages for PhD panel submissions) in the double column A4 format provided at the workshop website. Authors are required to submit their papers and PhD panel entries electronically via EasyChair as PDF files. All submissions will be peer-reviewed, and accepted papers will be scheduled for either an oral or a poster presentation (a panel and/or poster presentation for accepted PhD panel submissions). By submitting a paper, all authors agree that, for each accepted paper, at least one of its authors has to attend the workshop in order to present it. The program committee reserves the right to reject without review overlong submissions, submissions that violate the guidelines offered on the website, and submissions in formats other than PDF.

We are looking forward to receiving your submissions and seeing you at DX'17!

Your DX'17 Co-Chairs

Marina Zanella, University of Brescia, Italy
Alessandro Cimatti, Fondazione Bruno Kessler, Italy
Ingo Pill, TU Graz, Austria

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