| Commentaries |  |  |  |  | 
| Tackling the Pretty Hard Problem: Could Robots Have Human-Like Consciousness? | 
Lenhart K. Schubert | 
1 | 
PDF  | 
| Toward an Architecture for Robots in the Era of Foundation Models | 
Mohan Sridharan | 
21 | 
PDF  | 
| Concepts and Chunks in Cognitive Systems | 
Pat Langley | 
33 | 
PDF  | 
| An Ecosystem for Scalable Symbolic Modeling in Neurosymbolic AI; or Shapes of Cognition | 
Marjorie McShane, Sergei Nirenburg, Sanjay oruganti, and Jesse English | 
45 | 
PDF  | 
| A Qualitative Comparative Evaluation of Cognitive and Generative Theories | 
Paul S. Rosenbloom | 
65 | 
PDF  | 
| The STAR Cognitive Cycle in Context: A Comparative Analysis of 44 Cognitive Architectures | 
Iuliia Kotseruba and John K. Tsotsos | 
81 | 
PDF  | 
| Technical Papers |  |  |  |  | 
| Flexible Segmentation for Rule Learning over Object Representations in Abstract Visual Reasoning | 
Johannes Langer and Ute Schmid | 
103 | 
PDF  | 
| Hierarchical Semantic Retrieval with Cobweb | 
Anant Gupta, Karthik Singaravadivelan, and Zekun Wang | 
123 | 
PDF  | 
| Human-Allied Relational Reinforcement Learning | 
Fateme Golivand Darvishvand, Hikaru Shindo, Sahil Sidheekh, Kristian Kersting, and Sriraam Natarajan | 
143 | 
PDF  | 
| Multi-turn opinion dynamics simulation | 
Nitish Talekar and Arnav Jhala | 
160 | 
PDF  | 
| L.E.A.R.N: A Hybrid Architecture For Language-Guided Induction of Hierarchical Task Networks | 
Glen R Smith and Christopher J. MacLellan | 
176 | 
PDF  | 
| LLM-Augmented Incremental Language Parsing for Robotic Agents | 
Mitchell Abrams, Thies Oelerich, and Matthias Scheutz | 
194 | 
PDF  | 
| CORGI: Efficient Pattern Matching With Quadratic Guarantees | 
Daniel Weitekamp | 
210 | 
PDF  | 
| Understanding Diagrams with Explicit Intermediate Visual Representation | 
Wangcheng Xu and Kenneth Forbus | 
224 | 
PDF  | 
| Accumulated Expectations Improve Intelligent Agent Adaptation in Dynamic Environments | 
Paola Rizzo, David W. Aha, and Hector Munoz-Avila | 
241 | 
PDF  | 
| Automated Formalization of William Shakespeare's Venus and Adonis Using Large Language Models | 
Andrew Gordon | 
259 | 
PDF  | 
| A Neurosymbolic Fast and Slow Architecture for Graph Coloring | 
Vedant Khandelwal, Vishal Pallagani, Biplav Srivastava, and Francesca Rossi | 
275 | 
PDF  | 
| Instruction-Based Self-Supervised Online Training of the Perceptual Subsystem of a Cognitive Robotic Architecture | 
Sarah Schneider, Evan Krause, Daniel Soukup, and Matthias Scheutz | 
293 | 
PDF  | 
| Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation | 
Nicki Barari, Edward Kim, and Christopher J. MacLellan | 
313 | 
PDF  | 
| Integrating Symbolic Natural Language Understanding and Language Models for Word Sense Disambiguation | 
Kexin Zhao and Kenneth Forbus | 
331 | 
PDF  | 
| Thinking Together, Apart: Reasoning and Learning in Ad Hoc Teamwork | 
Hasra Dodampegama and Mohan Sridharan | 
347 | 
PDF  | 
| Pursuing Actionable Perception Interpretation in Cognitive Robotic Systems | 
Marjorie McShane, Sergei Nirenburg, Jesse English, and Sanjay oruganti | 
367 | 
PDF  | 
| Understanding Written Procedures | 
Gary C. Borchardt, Sue Felshin, Boris Katz, and Pat Langley | 
387 | 
PDF  | 
| Online Learning of HTN Methods for integrated LLM HTN Planning | 
Yuesheng Xu and Hector Munoz-Avila | 
407 | 
PDF  | 
| A Neurodiversity-Inspired Solver for the Abstraction & Reasoning Corpus (ARC) Using Visual Imagery and Program Synthesis | 
James Ainooson, Deepayan Sanyal, Joel Phillips Michelson, Yuan Yang, and Maithilee Kunda | 
424 | 
PDF  |