[PlanetKR] 2nd CfP: KoDis/CAKR Workshop @KR2024, paper deadline July 17

[Jonas Haldimann]

2ND CALL FOR PAPERS

*Joint Workshop on Knowledge Diversity and Cognitive Aspects of KR 
(KoDis/CAKR) *

Co-located with the 21st International Conference on Principles of 
Knowledge Representation and Reasoning (KR 2024), November 2 – 8, 2024 
in Hanoi, Vietnam

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.

Website: https://kodis-cakr24.krportal.org/


*Important Dates:*
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: *
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.

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.

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 
mitigation 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 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.

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:

- How can we study the cognitive adequacy of approaches in AI?
- Are declarative approaches cognitively more adequate than other 
approaches in AI?
- What is the connection between cognitive adequacy and explanatory 
potential?
- 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 
developments in AI?


*Call for Papers: *
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.

Submissions should be of one of the following types:

- long papers reporting unpublished research (10–12 pages excluding 
references),
- short papers reporting unpublished research (5–6 pages excluding 
references), or
- 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.


*Publication:*
We plan to publish informal proceedings in the CEUR Workshop Proceedings.


*Organizing Committee: *
Lucía Gómez Alvarez, Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, 
LIG, F-38000 Grenoble, France
Jonas Haldimann, TU Wien, Austria
Jesse Heyninck, OpenUniversiteit, the Netherlands; University of Cape 
Town and CAIR, South Africa
Srdjan Vesic, CRIL CNRS Univ. Artois, France
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