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CFP: KoDis/CAKR 2024: the Joint Workshop on Knowledge Diversity and Cognitive Aspects of KR (colocated with KR 2024), 2 – 8 November 2024, Hanoi (Vietnam)
CALL FOR PAPERS
Joint Workshop on Knowledge Diversity and Cognitive Aspects of KR (KoDis/CA
KR)
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Co-located with the 21st International Conference on Principles of Knowledg
e Representation and Reasoning (KR 2024), November 2 8, 2024 in Hanoi,
Vietnam
This workshop is the joint continuation of the previous Workshop on Cogniti
ve Aspects of KR (CAKR) and of the Workshop on Knowledge Diversity (KoDis).
In view of the partial overlap of topics and target audience, we organise
the KoDis and CAKR workshops jointly this year.
Website: https://kodis-cakr24.krportal.org/
Important Dates:
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All dates are given Anywhere on Earth (AoE).
- Papers due: July 17, 2024
- Notification to authors: August 21, 2024
- Camera-ready version due: September 18, 2024
- Workshop date: November 2, 3, or 4, 2024
Overview:
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The KoDis workshop intends to create a space of confluence and a forum for
discussion for researchers interested in knowledge diversity in a wide sens
e, including diversity in terms of diverging perspectives, different belief
s, semantic heterogeneity and others. The importance of understanding and h
andling the different forms of diversity that manifest between knowledge fo
rmalisations (ontologies, knowledge bases, or knowledge graphs) is widely r
ecognised and has led to the proposal of a variety of systems of representa
tion, tackling overlapping aspects of this phenomenon.
Besides understanding the phenomenon and considering formal models for the
representation of knowledge diversity, we are interested in the variety of
reasoning problems that emerge in this context, including joint reasoning w
ith possibly conflicting sources, interpreting knowledge from alternative v
iewpoints, consolidating the diversity as uncertainty, reasoning by means o
f argumentation between the sources and pursuing knowledge aggregations amo
ng others.
A non-exhaustive list of topics of interest for the KoDis workshop is given
below.
- Philosophical and cognitive analysis of knowledge diversity.
- Formal models for the representation of knowledge diversity.
- Ontological approaches capturing multiple perspectives and viewpoints.
- Context and concept formation in such systems.
- Consistency (or not) in multi-perspective systems; assessment and mitigat
ion of inconsistencies.
- Communication between knowledge-diverse systems.
- Argumentation-based approaches for dealing with inconsistency.
- Aggregation of diverse or inconsistent knowledge; judgement aggregation.
- Uncertainty in the context of knowledge diversity.
- Applications of formal models of knowledge diversity.
The CAKR workshop deals with cognitively adequate approaches to knowledge r
epresentation and reasoning. Knowledge representation is a lively and well-
established field of AI, where knowledge and belief are represented declara
tively and suitable for machine processing. It is often claimed that this d
eclarative nature makes knowledge representation cognitively more adequate
than e.g. sub-symbolic approaches, such as machine learning. This cognitive
adequacy has important ramifications for the explainability of approaches
in knowledge representation, which in turn is essential for the trustworthi
ness of these approaches. However, exactly how cognitive adequacy is ensure
d has often been left implicit, and connections with cognitive science and
psychology are only recently being taken up.
The goal of the CAKR workshop is to bring together experts from fields incl
uding artificial intelligence, psychology, cognitive science and philosophy
to discuss important questions related to cognitive aspects of knowledge r
epresentation, such as:
- How can we study the cognitive adequacy of approaches in AI?
- Are declarative approaches cognitively more adequate than other approache
s in AI?
- What is the connection between cognitive adequacy and explanatory potenti
al?
- How to develop benchmarks for studying cognitive aspects of AI?
- Which results from psychology are relevant for AI?
- What is the role of the normative-descriptive distinction in current deve
lopments in AI?
Call for Papers:
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We invite both long and short papers, as well as reports on recently publis
hed papers in reputed venues. Submissions will be peer-reviewed to ensure q
uality and relevance to the workshop. At least one author of each accepted
paper will be required to attend the workshop to present the contribution.
Submissions should be of one of the following types:
- long papers reporting unpublished research (1012 pages excluding refer
ences),
- short papers reporting unpublished research (56 pages excluding refere
nces), or
- extended abstracts (up to 3 pages including references) presenting work r
elevant to the workshop already published in other conferences or journals.
Such an abstract should summarize the contributions of the article and its
relevance for the workshop, as well as include bibliographic details of th
e article and a link to the article.
Publication:
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We plan to publish informal proceedings in the CEUR Workshop Proceedings.
Organizing Committee:
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Luca Gmez Alvarez, Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, L
IG, F-38000 Grenoble, France
Jonas Haldimann, FernUniversitt in Hagen, Germany
Jesse Heyninck, OpenUniversiteit, the Netherlands; University of Cape Town
and CAIR, South Africa
Srdjan Vesic, CRIL CNRS Univ. Artois, France
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