Schedule
Tuesday (5 September)
DC (9:05-10:15): Introduction and Invited Talk
Mary-Anne Williams: Leading Innovation and Collaboration in Knowledge Representation Research
Abstract: In the rapidly evolving field of knowledge representation (KR), learning to lead innovation and collaboration is essential. This presentation will delve into the art and science of effective innovation leadership and collaboration in academic research. We will explore strategies to identify potential collaborators, foster meaningful academic relationships, and amplify the impact of your work. By understanding the nuances of transdisciplinary collaboration, attendees will be better equipped to lead innovation in KR and achieve a lasting impact. We will explore how you might navigate the academic labyrinth by transforming challenges into opportunities using a curious and entrepreneurial mindset.
DC (10:40-12:10): Learning & Cognition
- Matteo Magnini: Symbolic Transfer Learning through Knowledge Manipulation Methods
- Adam Ishay: Neuro-Symbolic Reasoning by Coupling Neural Networks with Symbolic Logic
- Mingkun Xu: Constructing graph-based Structured Framework for Bridging Cognition and Neuromorphic Computing
- Vasileios Theodoros Markos: Towards Cognitive Representatives
- Francis Ward: Deceptive AI Systems
- Samuele Pollaci: A Category-Theoretic Perspective on Approximation Fixpoint Theory
DC (15:05-15:50): Planning
- Kumar Manas: Heterogeneous Knowledge source Representation Learning for Automated Driving
- Nazlı Nur Karabulut: Solving Isomorphic Dec-POMDPs Using Bayesian Games
- Augusto B. Corrêa: Grounding Planning Tasks
DC (16:15-18:00): Applications
- Elena Štefancová: Targeting the Transparency of Recommender Systems by Employing Knowledge Representation
- Deniz Gorur: Judgemental Forecasting in Argumentation Theory
- Caren Al Anaissy: Applying Formal Argumentation Theory to Legal Reasoning
- M. Jaleed Khan: Leveraging Heterogeneous Knowledge Graphs for Scene Graph Enrichment in Neurosymbolic Visual Understanding and Reasoning
- Peter Anthony: Malware Detection Based on Explainable AI
- Anouk Michelle Oudshoorn: Combining SHACL and Ontologies
- Anton Gnatenko: Ontology-Mediated Queries in Temporal Description Logics
Participants List
- Caren Al Anaissy, Applying Formal Argumentation Theory to Legal Reasoning
- Peter Anthony, Malware Detection Based on Explainable AI
- Augusto B. Corrêa, Grounding Planning Tasks
- Anton Gnatenko, Ontology-Mediated Queries in Temporal Description Logics
- Deniz Gorur, Judgemental Forecasting in Argumentation Theory
- Adam Ishay, Neuro-Symbolic Reasoning by Coupling Neural Networks with Symbolic Logic
- Nazlı Nur Karabulut, Solving Isomorphic Dec-POMDPs Using Bayesian Games
- M. Jaleed Khan, Leveraging Heterogeneous Knowledge Graphs for Scene Graph Enrichment in Neurosymbolic Visual Understanding and Reasoning
- Matteo Magnini, Symbolic Transfer Learning through Knowledge Manipulation Methods
- Kumar Manas, Heterogeneous Knowledge Source Representation Learning for Automated Driving
- Anouk Michelle Oudshoorn, Combining SHACL and Ontologies
- Samuele Pollaci, A Category-Theoretic Perspective on Approximation Fixpoint Theory
- Elena Štefancová, Targeting the Transparency of Recommender Systems by Employing Knowledge Representation
- Vasileios Theodoros Markos, Towards Cognitive Representatives
- Francis Ward, Deceptive AI Systems
- Mingkun Xu, Constructing graph-based Structured Framework for Bridging Cognition and Neuromorphic Computing
Invited Talk
We are pleased to announce an invited talk by Mary-Anne Williams as part of the DC. Mary-Anne is an AAAI Fellow and the Michael J Crouch Chair for Innovation at the University of New South Wales. She is a leading authority on AI with transdisciplinary strengths in Human-Ai Collaboration, Responsible AI, Explainable AI, Strategic Management, Disruptive Innovation, Entrepreneurship, Computer Science, Decision Making, Machine Learning, Human-Robot Interaction, Ethics and Law. The title and abstract of her talk will be announced closer to the event.