[DL] Deadline Extension for the 1st International Workshop on Knowledge Representation for Hybrid Intelligence

Acar, E. erman.acar at vu.nl
Sat Mar 5 16:46:12 CET 2022

***Apologies for Cross-posting***

Dear Friends and Colleagues,

I am pleased to announce the first International Workshop on Knowledge Representation for Hybrid intelligence (KR4HI)<https://sites.google.com/view/kr4hi/home> which will be held in Amsterdam  on June  14th, 2022, and  co-located with HHAI 2022<https://www.hhai-conference.org/>. The workshop aims to motivate interdisciplinary KR research which is oriented towards human-machine teaming scenarios (hence the term  hybrid-intelligence).   You can find further information below.

--Erman Acar (also on behalf of the organising committee: Thomas Bolander, Ana Ozaki and Rafael Peñaloza)


Submission deadline (extended): April 14th, 2022 (AoE)
Notification of acceptance:  May 14th, 2022
Workshop date: June 14th, 2022
Place: Amsterdam, The Netherlands

Website:  https://sites.google.com/view/kr4hi/home

As artificial intelligence (AI) technologies are 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 formal semantics (the understanding of machines) 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 take 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 which hybrid intelligence naturally falls under.


The workshop has an interdisciplinary theme and welcomes any work from any discipline which uses a KR formalism in a HI scenario.
 The relevant KR formalisms to be used/motivated in an HI scenario include but are not limited to:
• Argumentation Frameworks
• Automated Reasoning and Planning
• Belief Revision and Models of Uncertainty (Probabilistic/Fuzzy Logics)
• Constraint programming
• Causal Inference and Contextual Reasoning
• Epistemic Logics and Theory of Mind
• Formal Concept Analysis
• Formal and Applied Ontologies (Knowledge Graphs, Description Logics)
• Non-monotonic Reasoning (Answer-set Programming, Datalog)
 • Temporal logics (Single-agent / Multiagent Logics)
• Preferential Reasoning
• Probabilistic Graphical Models


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).
Submission link: Submissions are to be made via the EasyChair: https://easychair.org/conferences/?conf=kr4hi.
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.)


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>




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


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>

<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>
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>
Civic-AI Lab Amsterdam<https://www.civic-ai.nl/>

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.zfn.uni-bremen.de/pipermail/dl/attachments/20220305/061095be/attachment-0001.htm>

More information about the dl mailing list