:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Johansson, Robert
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2503.00611
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Arbitrarily Applicable Same/Opposite Relational Responding with NARS
by: Johansson, Robert, et al.
Published: (2025)

Machine Psychology: Integrating Operant Conditioning with the Non-Axiomatic Reasoning System for Advancing Artificial General Intelligence Research
by: Johansson, Robert
Published: (2024)

DriftScript: A Domain-Specific Language for Programming Non-Axiomatic Reasoning Agents
by: Brady, Seamus
Published: (2026)

Teaching Transformers Causal Reasoning through Axiomatic Training
by: Vashishtha, Aniket, et al.
Published: (2024)

Axiomatic Choice
by: Abramowitz, Ben, et al.
Published: (2025)

Axiomatizing Rumsfeld Ignorance
by: Fan, Jie
Published: (2025)

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA
by: Shen, Xiangqing, et al.
Published: (2025)

Reasoning as Energy Minimization over Structured Latent Trajectories
by: Johansson, David K.
Published: (2026)

Broadening the Applicability of Conditional Syntax Splitting for Reasoning from Conditional Belief Bases
by: Spiegel, Lars-Phillip, et al.
Published: (2026)

AEC — Axiomatic Engine Cycle v0.1 — Initial Specification Draft
by: Brown, Cameron
Published: (2026)

Machine Psychology
by: Hagendorff, Thilo, et al.
Published: (2023)

Chat to Chip: Large Language Model Based Design of Arbitrarily Shaped Metasurfaces
by: Zhang, Huanshu, et al.
Published: (2025)

The Application of ChatGPT in Responding to Questions Related to the Boston Bowel Preparation Scale
by: Liu, Xiaoqiang, et al.
Published: (2024)

Standard Applicability Judgment and Cross-jurisdictional Reasoning: A RAG-based Framework for Medical Device Compliance
by: Han, Yu, et al.
Published: (2025)

Axiomatization of Gradient Smoothing in Neural Networks
by: Zhou, Linjiang, et al.
Published: (2024)

HeteroHub: An Applicable Data Management Framework for Heterogeneous Multi-Embodied Agent System
by: Li, Xujia, et al.
Published: (2026)

An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics
by: Liu, Miri, et al.
Published: (2026)

A Polynomial-Time Axiomatic Alternative to SHAP for Feature Attribution
by: Hiraki, Kazuhiro, et al.
Published: (2026)

Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models
by: Luo, Weidi, et al.
Published: (2024)

Comparative Evaluation of Applicability Domain Definition Methods for Regression Models
by: Khurshid, Shakir, et al.
Published: (2024)

Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological Framing
by: Wang, Zehao, et al.
Published: (2026)

Axiomatic Foundations of Counterfactual Explanations
by: Amgoud, Leila, et al.
Published: (2026)

Toward the Axiomatization of Intelligence: Structure, Time, and Existence
by: Itoh, Kei
Published: (2025)

Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
by: Shakerinava, Mehran, et al.
Published: (2025)

Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations
by: Wang, Junjue, et al.
Published: (2026)

Axiomatic Characterisations of Sample-based Explainers
by: Amgoud, Leila, et al.
Published: (2024)

Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization
by: Deroy, Aniket, et al.
Published: (2024)

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints
by: Zhu, Jian-Qiao, et al.
Published: (2025)

Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation
by: Zhao, Jianpeng, et al.
Published: (2025)

MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
by: Opedal, Andreas, et al.
Published: (2024)

Functional Equivalence with NARS
by: Johansson, Robert, et al.
Published: (2024)

Towards a Psychology of Machines: Large Language Models Predict Human Memory
by: Huff, Markus, et al.
Published: (2024)

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
by: Li, Yunyang, et al.
Published: (2025)

Auto-Relational Reasoning
by: Konstantoulas, Ioannis, et al.
Published: (2026)

AI Through the Human Lens: Investigating Cognitive Theories in Machine Psychology
by: Kundu, Akash, et al.
Published: (2025)

CollabLLM: From Passive Responders to Active Collaborators
by: Wu, Shirley, et al.
Published: (2025)

Resolving Zadehs Paradox Axiomatic Possibility Theory as a Foundation for Reliable Artificial Intelligence
by: Oleksii, Bychkov, et al.
Published: (2025)

Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence
by: Bogdan, Alex, et al.
Published: (2026)

Defining the Scope of Learning Analytics: An Axiomatic Approach for Analytic Practice and Measurable Learning Phenomena
by: Takii, Kensuke, et al.
Published: (2025)

An Axiomatic Study of the Evaluation of Enthymeme Decoding in Weighted Structured Argumentation
by: Ben-Naim, Jonathan, et al.
Published: (2024)