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<p>2ND CALL FOR PAPERS<br>
<br>
<b><font size="4">Joint Workshop on Knowledge Diversity and
Cognitive Aspects of KR (KoDis/CAKR) </font></b><br>
<br>
Co-located with the 21st International Conference on Principles
of Knowledge Representation and Reasoning (KR 2024), November 2
– 8, 2024 in Hanoi, Vietnam <br>
<br>
This workshop is the joint continuation of the previous Workshop
on Cognitive 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. <br>
<br>
Website: <a class="moz-txt-link-freetext"
href="https://kodis-cakr24.krportal.org/">https://kodis-cakr24.krportal.org/</a>
<br>
</p>
<p><br>
<b>Important Dates:</b><br>
All dates are given Anywhere on Earth (AoE). <br>
<br>
- Papers due: July 17, 2024 <br>
- Notification to authors: August 21, 2024 <br>
- Camera-ready version due: September 18, 2024 <br>
- Workshop date: November 2, 3, or 4, 2024 <br>
<br>
<b>Overview: </b><br>
The KoDis workshop intends to create a space of confluence and a
forum for discussion for researchers interested in knowledge
diversity in a wide sense, including diversity in terms of
diverging perspectives, different beliefs, semantic
heterogeneity and others. The importance of understanding and
handling the different forms of diversity that manifest between
knowledge formalisations (ontologies, knowledge bases, or
knowledge graphs) is widely recognised and has led to the
proposal of a variety of systems of representation, tackling
overlapping aspects of this phenomenon. <br>
<br>
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 with possibly
conflicting sources, interpreting knowledge from alternative
viewpoints, consolidating the diversity as uncertainty,
reasoning by means of argumentation between the sources and
pursuing knowledge aggregations among others. <br>
<br>
A non-exhaustive list of topics of interest for the KoDis
workshop is given below. <br>
<br>
- Philosophical and cognitive analysis of knowledge diversity. <br>
- Formal models for the representation of knowledge diversity. <br>
- Ontological approaches capturing multiple perspectives and
viewpoints. <br>
- Context and concept formation in such systems. <br>
- Consistency (or not) in multi-perspective systems; assessment
and mitigation of inconsistencies. <br>
- Communication between knowledge-diverse systems. <br>
- Argumentation-based approaches for dealing with inconsistency.
<br>
- Aggregation of diverse or inconsistent knowledge; judgement
aggregation. <br>
- Uncertainty in the context of knowledge diversity. <br>
- Applications of formal models of knowledge diversity. <br>
<br>
The CAKR workshop deals with cognitively adequate approaches to
knowledge representation and reasoning. Knowledge representation
is a lively and well-established field of AI, where knowledge
and belief are represented declaratively and suitable for
machine processing. It is often claimed that this declarative
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 trustworthiness of these
approaches. However, exactly how cognitive adequacy is ensured
has often been left implicit, and connections with cognitive
science and psychology are only recently being taken up. <br>
<br>
The goal of the CAKR workshop is to bring together experts from
fields including artificial intelligence, psychology, cognitive
science and philosophy to discuss important questions related to
cognitive aspects of knowledge representation, such as: <br>
<br>
- How can we study the cognitive adequacy of approaches in AI? <br>
- Are declarative approaches cognitively more adequate than
other approaches in AI? <br>
- What is the connection between cognitive adequacy and
explanatory potential? <br>
- How to develop benchmarks for studying cognitive aspects of
AI? <br>
- Which results from psychology are relevant for AI? <br>
- What is the role of the normative-descriptive distinction in
current developments in AI? <br>
</p>
<p><br>
<b>Call for Papers: </b><br>
We invite both long and short papers, as well as reports on
recently published papers in reputed venues. Submissions will be
peer-reviewed to ensure quality and relevance to the workshop.
At least one author of each accepted paper will be required to
attend the workshop to present the contribution. <br>
<br>
Submissions should be of one of the following types: <br>
<br>
- long papers reporting unpublished research (10–12 pages
excluding references), <br>
- short papers reporting unpublished research (5–6 pages
excluding references), or <br>
- extended abstracts (up to 3 pages including references)
presenting work relevant 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 the
article and a link to the article. <br>
</p>
<p><br>
<b>Publication:</b><br>
We plan to publish informal proceedings in the CEUR Workshop
Proceedings. <br>
<br>
<br>
<b>Organizing Committee: </b><br>
Lucía Gómez Alvarez, Univ. Grenoble Alpes, Inria, CNRS, Grenoble
INP, LIG, F-38000 Grenoble, France <br>
Jonas Haldimann, TU Wien, Austria <br>
Jesse Heyninck, OpenUniversiteit, the Netherlands; University of
Cape Town and CAIR, South Africa <br>
Srdjan Vesic, CRIL CNRS Univ. Artois, France </p>
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