[PlanetKR] CfP: Joint Workshop on Knowledge Diversity and Cognitive Aspects of KR (KoDis/CAKR) @KR2024

[Jonas Haldimann]

*Call for Papers:*


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

Website: https://kodis-cakr24.krportal.org/
<https://kodis-cakr24.krportal.org/>Co-located with the 21st 
International Conference on Principles of Knowledge Representation and 
Reasoning (KR 2024), <https://kr.org/KR2024/> November 2 – 8, 2024 in 
Hanoi, Vietnam


      Overview

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 partial overlap of topics and target 
audience, we organise the KoDis and CAKR workshops jointly this year.

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 on its turn is essential for the 
trustworthiness of these approaches. However, exactly how cognitive 
adequacy is ensured has been often 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

To encourage submissions of both mature and preliminary work, 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. The workshop will include time 
for audience discussion of the presentation allowing the group to have a 
better understanding of the issues, challenges, and ideas being 
presented. We plan to 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 
<http://ceur-ws.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


      Organizing Committee

  * *Lucía Gómez Alvarez*, Inria UGA, France
  * *Jonas Haldimann*, FernUniversität 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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