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Call for Papers:
Workshop on Artificial Intelligence and Model-driven Engineering
(MDE
Intelligence) co-located with MODELS 2019,
September 2019,
Munich, Germany
https://mde-intelligence.github.io/
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MOTIVATION
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Model-driven engineering (MDE) and artificial intelligence (AI)
are two
separate fields in computer science, which can clearly benefit
from
cross-pollination and collaboration. There are at least two ways
in which such integration—which we call MDE
Intelligence—can manifest:
-) Artificial Intelligence for MDE. MDE can benefit from
integrating AI
concepts and ideas, for example by increasing the power and
flexibility
of model transformations through
search-based approaches, or by increasing the ability to abstract
from partially formed, manual sketches into fully-shaped and
formally
specified meta-models and editors.
-) MDE for Artificial Intelligence. Conversely, AI can benefit
from
integrating concepts and ideas from MDE. For example, using
domain-specific languages and model transformations allows domain
experts to directly express and manipulate their
problems while providing an auditable conversion pipeline.
Together this
can improve trust in and safety of AI technologies. Similarly, MDE
technologies can contribute to the goal of
explainable AI.
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TOPICS
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Topics of interest for the workshop include, but are not limited
to:
AI for MDE:
- Application of (meta-heuristic) search to modelling problems;
- Machine learning of models, meta-models, concrete syntax, model
transformations, etc.;
- AI planning applied to modelling, meta-modelling, and model
management;
- Modeling bots, chatbots and virtual assistants in the modeling
tasks;
- Model inferencers and automatic model generators from datasets;
- Self-adapting code generators;
- AI-based user interface adaptation for modeling tools;
- AI with human-in-the-loop for modeling;
- Semantic reasoning platforms over domain-specific models;
- Semantic integration of design-time models with runtime data;
- General-knowledge or domain-specific ontologies;
- Probabilistic models;
- Use of AI techniques in data, process and model mining and
categorisation;
- Natural language processing applied to modelling;
- Perception and modelling.
MDE for AI:
- Domain-specific modelling approaches for AI planning, machine
learning, agent-based modelling, etc.;
- Model-driven processes for AI system development;
- MDE techniques for explainable AI;
- Using models for knowledge representation;
- Code-generation for AI libraries and platforms;
- Model-based testing of AI components.
General
- Tools for combining AI and MDE;
- Case studies in MDE Intelligence;
- Challenge problems to be addressed by combining AI and MDE
techniques.
SUBMISSIONS
You are invited to send the following types of papers:
- Research/technical papers or work-in-progress papers of at most
6
pages,
- Vision papers, experience papers, case study papers or demos of
at
most 4 pages.
Submitted papers must conform to the IEEE double column format.
Submissions must be uploaded through EasyChair in the following
link
https://easychair.org/conferences/?conf=mdeintelligence2019.
Each submission will be review by at least 3 members of the
program
committee. They will value the relevance and interest for
discussions
that will take place at the workshop. Accepted papers will be
published
in the IEEE Satellite Event Proceedings.
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IMPORTANT DATES
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Abstract submission: June 28, 2019
Paper submission: July 5, 2019
Notification: July 26, 2019
Camera-ready: August 2, 2019
Workshop date: September 15-17, 2019
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Organizers
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Loli Burgueño (Open University of Catalonia, Spain & CEA List,
France)
Alexandru Burdusel (King’s College London, UK)
Sébastien Gérard (CEA List, France)
Manuel Wimmer (Johannes Kepler Universität Linz, Austria)
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Contact
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If you have questions, contact us by email at:
mdeintelligence2019@easychair.org.
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