8:30am | Registration and Check-In | |
9:00am | Opening Remarks | Christopher J. MacLellan |
9:30am | Tackling the Pretty Hard Problem: Could Robots Have Human-Like Consciousness?
| Lenhart Schubert |
10:00am | Toward an Architecture for Robots in the Era of Foundation Models
| Mohan Sridharan |
10:30am | Coffee and Snack Break | |
11:00am | The STAR Cognitive Cycle in Context: A Comparative Analysis of 44 Cognitive Architectures
| Iuliia Kotseruba & John Tsotsos |
11:30am | Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation
| Nicki Barari, Christopher J. MacLellan, & Edward Kim |
Noon | Catered Lunch @ GLC Atrium
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1:30pm | Integrating Symbolic Natural Language Understanding and Language Models for Word Sense Disambiguation
| Kexin Zhao & Kenneth Forbus |
2:00pm | Hierarchical Semantic Retrieval with Cobweb
| Anant Gupta, Karthik Singaravadivelan, & Zekun Wang |
2:30pm | Automated Formalization of William Shakespeare's Venus and Adonis Using Large Language Models
| Andrew Gordon |
3:00pm | Coffee and Snack Break | |
3:30pm | Invited Talk: Task Analysis by Problem Solving (TAPS): A Method to Identify What Cognitive Systems (and Humans) Need to Know | Richard Catrambone |
4:00pm | Understanding Written Procedures
| Gary Borchardt, Sue Felshin, Boris Katz, & Pat Langley |
4:30pm | LLM-Augmented Incremental Language Parsing for Robotic Agents
| Mitchell Abrams, Thies Oelerich, & Matthias Scheutz |
5:00pm | Walk to Poster Session @ Technology Square Research Building (TSRB) first floor event space | |
5:30pm - 7:00pm |
Posters |
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R-HTN: Rebellious Online HTN Planning for Safety and Game AI
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Hector Munoz-Avila, David W. Aha, & Paola Rizzo |
Do as I Say, Not as I Do: The Role of LLMs in Open World Agents
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William Ferguson, Marshall Brinn, Allyson Beach, & Aaron Adler |
Generative Example-Driven Error Mining
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Constantine Nakos, Walker Demel, & Kenneth Forbus |
Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices
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Mallika Mainali, Harsha Sureshbabu, Anik Sen, Christopher B Rauch, John Meyer, JT Turner, Michael W. Floyd, Matthew Molineaux, & Rosina Weber |
Inference of Abstraction for Grounded Predicate Logic
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Hiroyuki Kido |
A Data-Transparent Probabilistic Model of Temporal Propositional Abstraction
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Hiroyuki Kido |
Basic Categories in Vision Language Models: Expert Prompting Doesn't Grant Expertise
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Hunter Sawyer, Jesse Roberts, & Kyle Moore |
Frame Semantics for Human-Robot Interaction
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Mitchell Abrams, Chris Bao, & Matthias Scheutz |
Frame-Based Scene Understanding: Structured Representations for Introspective Perception in Autonomous Driving
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Li Liu, Leilani H. Gilpin |
A View of the Restaurant Script Through the Lens of Hierarchical Planning
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Jamie Macbeth, Mak Roberts, Boming Zhang, Sharmin Badhan, Molly Neu, Tanush Garg, Mackie Zhou, Yining Hua, & Manushaqe Muco |
Deliberate Planning in Language Models with Symbolic Representation
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Siheng Xiong, Zhangding Liu, Jieyu Zhou, & Yusen Su |
Modeling the Viewpoint Theory of Mental Rotation
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Yeon Tae Chung, Vijay Marupudi, Siddhartha Krishna Vemuri, Athanassios Economou, & Sashank Varma |
LLM-Augmented Symbolic NLU System for More Reliable Continuous Causal Statement Interpretation
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Xin Lian & Kenneth Forbus |
Mindless Dialogue? A Critical Note on ToM and Communicative Generative Agents
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Effat Farhana |
Building Trustworthy AI by Addressing its 16+2 Desiderata with Goal-Directed Commonsense Reasoning
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Alexis R. Tudor, Yankai Zeng, Huaduo Wang, Joaquín Arias, & Gopal Gupta |
Toward Representing Emotions in the TalaMind Architecture
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Philip C. Jackson Jr. |
Designing Nigiwai with Clauses: Embodiment via Tangible Communication on Three-Dimensional Cognitive Structures
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Kaira Sekiguchi, Yukio Ohsawa, & Sae Kondo |
Follow My Lead: Logical Fallacy Classification with Knowledge-Augmented LLMs
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Peiyu Wang, Tashvi Bansal, Ryan Bai, Emily M. Chui, & Leilani H. Gilpin |
Do LLMs Suppress Naïve Theories? Investigating Scientific Reasoning and Development in GPT-4o
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Sneh Gupta, Raj Shah, & Sashank Varma |