[Event at CIG] Call for PapersL KR4HI (1st International Workshop on Knowledge Representation for Hybrid Intelligence)

[Acar, E. (Erman)]

Sorry for multiple/cross posting



KR4HI (1st International Workshop on Knowledge Representation for Hybrid Intelligence)

IMPORTANT DATES

Submission deadline:  ̶A̶p̶r̶i̶l̶ ̶1̶4̶t̶h̶  May 1st,  2022 (AoE)
Notification of acceptance:  May 25th, 2022
Workshop date: June 14th, 2022
Place: Amsterdam, The Netherlands

Website:  https://sites.google.com/view/kr4hi/home
Note that accepted papers will be invited to a follow-up journal special issue on AI Communications<https://www.iospress.com/catalog/journals/ai-communications>

There will be a invited talk by Prof. Ufuk Topçu.


SUMMARY
As artificial intelligence (AI) technologies playing more important roles in our daily lives than ever before, designing intelligent systems which can work with humans effectively (instead of replacing them) is becoming a central research theme, giving rise to hybrid intelligence (HI). HI stands for combining human and machine intelligence as a team in various scenarios, aiming to benefit from the complementary powers of both components in solving problems. Developing such systems requires fundamentally novel solutions to major research problems in AI: current AI systems outperform humans in many cognitive tasks e.g., in pattern recognition or in playing video games, yet they fall short when it comes to tasks such as causal modelling, common sense reasoning, and behavioural human capabilities such as explaining its own decisions, adapting to different environments, adaptability to multiple contexts, collaborating with other human agents, etc. A particular challenge in developing such systems is to work with human input (high-level symbolic constraints or behavioural data).Knowledge representation (KR) as a sub-discipline of AI, deals with representing background knowledge and reasoning with symbolic constraints. KR has a key potential for contributing to the development of HI systems, because it naturally brings human understanding and the formal semantics (the understanding of machine) together. With this idea in mind, we welcome a wide array of works that use a KR formalism (or develop one) in an HI scenario. These works can range from purely theoretical to applied, or from purely symbolic to neural-symbolic ones, e.g., “learning systems which consider human demonstrations and symbolic constraints into account”  to “explainable AI systems that generate symbolic explanations for humans” or  can be in the context of socio-technical systems in which hybrid intelligence inherently falls under.



THEME OF SUBMISSION

The workshop has an interdisciplinary theme and is intended to welcome any work from any discipline which uses a KR formalism in a HI scenario.  The relevant themes to be used in HI scenario include but are not limited to:


• Argumentation Frameworks
• Integrating Learning and Reasoning (Neuro-Symbolic systems, Statistical Relational Learning)
• Formal or Applied Ontologies (Knowledge Graphs, Description Logics)
• Causal Inference/Counterfactual Reasoning
• Preferential/Contextual Reasoning
• Constraint Programming
• Epistemic Logics and Theory of Mind
• Formal Concept Analysis
• Non-monotonic Reasoning (Answer-set Programming, Datalog)
• Models of uncertainty (Probabilistic Graphical models, Probabilistic/Fuzzy Logics)
• Temporal logics (Single-agent / Multiagent Logics)




SUBMISSIONS

Submission format:  Submissions for contributing papers must be original (i.e., not submitted to any other venue) and are required to be in CEUR format (see http://ceur-ws.org/HOWTOSUBMIT.html) with 12 pages + references  (+supplementary material if necessary), and anonymised. Previously published articles can be submitted in the form of extended abstracts (2 pages + references).
The review process:  The review process will be carried out as single-blind, that is the authors are required to make their submissions anonymised. (Extended abstract submission are exempt from that restriction.)
Publication
Accepted papers will be published in CEUR workshop proceedings.
Submission page: https://easychair.org/my/conference?conf=kr4hi


JOURNAL SPECIAL ISSUE

Selected papers will further be invited for (extended version) submission to a special issue of the journal AI Communications.<https://www.iospress.com/catalog/journals/ai-communications>



PROGRAM COMMITEE

Erman Acar (Leiden University & Vrije Universiteit Amsterdam, NL)
Vaishak Belle (University of Edinburgh, UK)
Thomas Bolander (Technical University of Denmark, DK)
Ricardo Guimarães (University of Bergen, NO)
Loan Ho (Vrije Universiteit Amsterdam, NL)
Robert Loftin (TU Delft, NL)
Andrea Mazzullo (Free University of Bozen-Bolzano, IT)
Nicole Orzan (University of Groningen, NL)
Ana Ozaki (University of Bergen, NO)
Cosimo Persia (University of Bergen, NO)
Rafael Peñaloza Nyssen (University of Milano-Bicocca, IT)
Nico Potyka (Imperial College London, UK)
Jandson S. Riberio (Fern Universität Hagen, DE)
Fernando Santos (University of Amsterdam, NL)
Andreas Sauter (Vrije Universiteit Amsterdam, NL)
Rieneke Verbrugge (University of Groningen, NL)
Frank van Harmelen (Vrije Universiteit Amsterdam, NL)
Ben Wright (Northeastern University, USA)
—TBE--



ORGANISING COMMITTEE

Erman Acar (Leiden University & Vrije Universiteit Amsterdam)
Thomas Bolander (Technical University of Denmark)
Ana Ozaki (University of Bergen)
Rafael Peñaloza (University of Milano-Bicocca)


CONTACT

For any question,  please contact  Erman Acar  via email:   e.acar at liacs.leidenuniv.nl<mailto:e.acar at liacs.leidenuniv.nl> or erman.acar at vu.nl<mailto:erman.acar at vu.nl>


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<https://sites.google.com/view/ermanacar>Erman Acar, PhD<https://sites.google.com/view/ermanacar>

Reinforcement Learning Group<https://rlg.liacs.nl/>,
Leiden Institute of Advanced Computer Science<https://liacs.leidenuniv.nl/>, Universiteit Leiden<https://www.universiteitleiden.nl/en>
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Knowledge Representation and Reasoning Group<https://krr.cs.vu.nl/>
Department of Computer Science<https://vu.nl/nl/over-de-vu/faculteiten/faculteit-der-betawetenschappen/afdelingen/informatica>, Vrije Universiteit Amsterdam<https://vu.nl/en>
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Civic-AI Lab Amsterdam<https://www.civic-ai.nl/>

<https://sites.google.com/view/ermanacar>