MRC 2022: Thirteenth International Workshop Modelling | Reasoning | Context Vienna, Austria, July 23-29, 2022 |
Conference website | http://mrc.kriwi.de/2022/ |
Submission link | https://easychair.org/conferences/?conf=mrc2022 |
Submission deadline | May 16, 2022 |
Late & breaking deadline | June 13, 2022 |
We are happy to announce that we will be organising the next installment of our long running Workshop series on Modelling and Reasoning in Context (MRC) at IJCAI-ECAI 2022. The 31st International Joint Conference on Artificial Intelligence (IJCAI) will be held jointly with the 25th European Conference on Artificial Intelligence (ECAI). These conferences are the premier international scientific gatherings of AI researchers and practitioners in Europe and world wide. The event will be held in Vienna, Austria, July 23-29, 2022.
Context
Context has been and remains a central topic in Artificial Intelligence in general. In terms of recent concerns within AI, context is crucial for understanding causation, for personalisation and ethical AI and for the development of contextual AI. As well as these broader concerns, research on context is vital for developments within specific areas of AI:
Machine Learning and Knowledge Representation: In most cases, context can not be modelled a-priori but contextual information has to be inferred from data. In addition, contextual features might change over time, necessitating machine learning approaches for dynamic adaptation of context models and methods for reasoning with uncertainty.
Human-Centred AI: In Human-Computer Interaction, context is crucial for human-centred approaches to systems development. Because of the interdisciplinary and transdisciplinary nature of MRC, the workshop series is ideally suited to build bridges between these two closely related sub-fields of computer science and to facilitate the exchange of knowledge and methods for human-centred approaches.
Ethical and Responsible AI: Context is core to ethical and responsible approaches to AI, as reasoning about contextual parameters is inherent in human interpretation of ethical questions. Furthermore, explicit models of context can help mitigate the effects of algorithmic and data bias. The strong connection between context and ethical and responsible AI makes MRC 2021 an ideal venue for discussing research in these areas.
Explainable AI: With a renewed interest in explainable systems, context is increasingly important to identify user needs and system capabilities in providing explanations of system behaviour at runtime. Research on explainable AI (XAI) within the AI communities if often centred around the transparency and interpretability of the algorithms themselves, what is needed is a focus on contextualising explanations: what makes something work as an explanation, how can explanations help users to reach their goals, and how can the effectiveness and efficiency of explanations be measured.
Explanations as Process: Even with current research supporting the value, structure and function of explanation, it can been argued that XAI is typically defined through the "explanations" (the outcome) rather than "explaining" (the process). There is compelling evidence to look at it as dialogic interaction instead.
Ambient Intelligent Systems: AmI systems are widely characterised as systems and technologies that are, among other things, embedded, context aware, context sensitive, personalised, adaptive and anticipatory, as well as exhibiting some sort of social intelligence.
Affective Computing: If not before, then at least after the move from computing at the workplace to other, potentially more leisurely areas such as games and arts, a focus on hedonic aspects of using computer systems became necessary. Affective computing as a way of dealing with the emotions of users is heavily intertwined with contextual factors.
Responsible Personalisation: Context is central to enabling a more collaborative partnership between humans and machines. But personalisation brings risks to privacy and current methods embed and hide algorithmic bias and data biases. Making context explicit helps mitigating those effects.
Autonomous Agents and Robotics: The concept of context is itself contextual and always pertains to the acting agent. Additionally, context is an important issue in autonomous systems, in particular if they are to be integrated in socio-technical environments with human actors.
Human-Centred Design: Context is crucial for human-centred approaches to (intelligent) systems development. Because of the interdisciplinary and transdisciplinary nature of MRC, the workshop series is ideally suited to build bridges between HCI and AI; bringing a focus on humans into the foreground of intelligent systems design and putting AI to work in a variety of application areas through facilitating the exchange of knowledge and methods for human-centred approaches.
Context is inherently an interdisciplinary topic that, besides AI and HCI, has clear relations to linguistics and semiotics, cognitive science and psychology, mathematics and philosophy as well as other areas such as sociology and anthropology. Given the recent interest in AI beyond the field, MRC can act as a bridge between these different communities and serve as a means for integrating models and findings from these different areas.
Submission Guidelines
Submissions must be original, and should not have been formally published or accepted for publication elsewhere. We also invite longer versions of papers published in short form elsewhere.
Proceedings of MRC have previously been published in the CEUR Workshop Proceedings series and we plan to submit this year's proceedings as well. Starting in 2022, CEUR have adopted their own article style which we will also require for camera-ready copies of accepted papers.
However, we explicitly welcome papers which have been rejected at the main IJCAI-ECAI conference but which would still be suitable for a workshop. To make such re-submission as smooth as possible, you can chose to follow the formatting of the main conference for your submission to MRC as well.
We have prepared an author’s kit for MRC (based on the CEUR article style) that includes a LaTeX template, docx and odt files for word processors, and formatting instructions. If you prefer to use Overleaf, you can copy our Overleaf LaTeX project.
- Long (full) papers are allowed ten (10) pages in the CEUR style (roughly equivalent to 8 pages in the IJCAI-ECAI format).
- Short papers, not exceeding five (5) pages in the CEUR style (4 pages in IJCAI-ECAI format), may be submitted for short or poster presentation.
- Late and breaking papers which highlight current developments or characterise open challenges are allowed five (5) pages in the CEUR style (4 pages in IJCAI-ECAI format). Please note the special deadline for late papers.
For all paper types, pages containing only references and acknowledgements are not counted towards that limit. Submissions will be made through EasyChair.
MRC welcomes different kinds of papers, short position papers, research proposals, case studies, results from qualitative or quantitative experiments, theoretical contributions, surveys; early contributions from young researchers and student submissions as much as blue sky papers from senior members of the community.
Committees
Chairs
- Jörg Cassens, Institute of Computer Science, University of Hildesheim, Germany
- Rebekah Wegener, Institute for English and American Studies, Paris Lodron University, Salzburg, Austria
- Anders Kofod-Petersen, PiedBoeuf ApS, Copenhagen, Denmark
Program committee
- TBA
Contact
All questions about submissions should be emailed to mrc2022@kriwi.de.