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, FernUniversität in Hagen, Germany Jesse Heyninck, OpenUniversiteit, the Netherlands; University of Cape Town and CAIR, South Africa Srdjan Vesic, CRIL CNRS Univ. Artois, France