Cover Image

Taxonomic Networks: A Representation for Neuro-Symbolic Pairing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zekun, Haarer, Ethan L., Barari, Nicki, MacLellan, Christopher J.
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation
by: Barari, Nicki, et al.
Published: (2025)

Incremental Concept Formation over Visual Images Without Catastrophic Forgetting
by: Barari, Nicki, et al.
Published: (2024)

Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery
by: Wang, Zekun, et al.
Published: (2025)

Model Human Learners: Computational Models to Guide Instructional Design
by: MacLellan, Christopher J.
Published: (2025)

Intelligent Tutors Beyond K-12: An Observational Study of Adult Learner Engagement and Academic Impact
by: Gupta, Adit, et al.
Published: (2025)

Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces
by: Calo, Tommaso, et al.
Published: (2024)

VAL: Interactive Task Learning with GPT Dialog Parsing
by: Lawley, Lane, et al.
Published: (2023)

A Rational Account of Categorization Based on Information Theory
by: MacLellan, Christopher J., et al.
Published: (2026)

Apprentice Tutor Builder: A Platform For Users to Create and Personalize Intelligent Tutors
by: Smith, Glen, et al.
Published: (2024)

Incremental and Data-Efficient Concept Formation to Support Masked Word Prediction
by: Lian, Xin, et al.
Published: (2024)

TutorGym: A Testbed for Evaluating AI Agents as Tutors and Students
by: Weitekamp, Daniel, et al.
Published: (2025)

Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning
by: Lian, Xin, et al.
Published: (2024)

Evaluating Alternative Training Interventions Using Personalized Computational Models of Learning
by: MacLellan, Christopher James, et al.
Published: (2024)

HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks
by: Siddiqui, Momin N., et al.
Published: (2024)

TRESTLE: A Model of Concept Formation in Structured Domains
by: MacLellan, Christopher J., et al.
Published: (2024)

Beyond Final Answers: Evaluating Large Language Models for Math Tutoring
by: Gupta, Adit, et al.
Published: (2025)

Intelligent Tutors for Adult Learners: An Analysis of Needs and Challenges
by: Gupta, Adit, et al.
Published: (2024)

Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision-Language Models
by: Roy, Aryan, et al.
Published: (2026)

Trust Region Continual Learning as an Implicit Meta-Learner
by: Wang, Zekun, et al.
Published: (2026)

Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models
by: Wang, Zekun, et al.
Published: (2025)

CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic Modeling
by: Singaravadivelan, Karthik, et al.
Published: (2026)

Test-Time Compositional Generalization in Diffusion Models via Concept Discovery
by: Wang, Zekun, et al.
Published: (2026)

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context
by: Wang, Zekun, et al.
Published: (2026)

Bridging the Gap: Representation Spaces in Neuro-Symbolic AI
by: Zhang, Xin, et al.
Published: (2024)

Improving Interface Design in Interactive Task Learning for Hierarchical Tasks based on a Qualitative Study
by: Zhou, Jieyu, et al.
Published: (2024)

Compositional Neuro-Symbolic Reasoning
by: Das, Anugyan, et al.
Published: (2026)

Federated Neuro-Symbolic Learning
by: Xing, Pengwei, et al.
Published: (2023)

A Semantic Framework for Neuro-Symbolic Computing
by: Odense, Simon, et al.
Published: (2022)

Assured Autonomy with Neuro-Symbolic Perception
by: Hallyburton, R. Spencer, et al.
Published: (2025)

Neuro-Symbolic AI for Military Applications
by: Hagos, Desta Haileselassie, et al.
Published: (2024)

Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response
by: Baker, Christopher, et al.
Published: (2026)

Neuro-Symbolic Rule Lists
by: Xu, Sascha, et al.
Published: (2024)

Neuro-Symbolic AI in 2024: A Systematic Review
by: Colelough, Brandon C., et al.
Published: (2025)

A Challenge to Build Neuro-Symbolic Video Agents
by: Shah, Sahil, et al.
Published: (2025)

Neuro-Symbolic Verification on Instruction Following of LLMs
by: Su, Yiming, et al.
Published: (2026)

Semirings for Probabilistic and Neuro-Symbolic Logic Programming
by: Derkinderen, Vincent, et al.
Published: (2024)

Neuro-Symbolic Data Generation for Math Reasoning
by: Li, Zenan, et al.
Published: (2024)

Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs
by: Daggitt, Matthew L., et al.
Published: (2024)

A Learnability Analysis on Neuro-Symbolic Learning
by: He, Hao-Yuan, et al.
Published: (2025)

Neuro-Symbolic Decoding of Neural Activity
by: Wang, Yanchen, et al.
Published: (2026)