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11 results for “taxonomy”
From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change
This article is a narrative literature review mapping the historical development of computational belief change theory from Doyle and London's 1980 taxonomy through the AGM framework to modern implementation challenges, positioning itself as foundational groundwork for future engineering-oriented research.
Aug 18, 2026
Cross-Disciplinary Taxonomy and Modeling of Misunderstanding Generation, Amplification, and Detection, from Pragmatics to AI Agents
A new arXiv preprint introduces a cross-disciplinary taxonomy and formal model of misunderstanding in AI-mediated communication, identifying 11 failure modes across 8 analytical layers to improve detection and repair.
Aug 17, 2026
using AI as a supreme court judge for completely pointless household arguments is my new favorite hobby
A Reddit user describes using ChatGPT to arbitrate trivial household disputes—like the hot dog/sandwich debate or trash duty—as a humorous, low-stakes social experiment in AI-mediated consensus.
Aug 16, 2026
Forecasting Side Effects of Activation Steering
Researchers propose a method to forecast unintended behavioral side effects of activation steering in language models before deployment, using a cross-effect matrix across 67 behaviors and three open-weight models.
Aug 13, 2026
Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design
A new arXiv survey paper introduces a three-stage taxonomy for co-evolution in agentic AI systems—where agents and environments mutually adapt—to frame open-ended, post-deployment self-improvement as an emerging research frontier.
Aug 13, 2026
Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval
A new research paper introduces Factorized Hypothesis Search (FHS), a method to improve retrieval accuracy for large taxonomies when inputs are indirect evidence (e.g., table cells) rather than explicit concepts — addressing what the authors term the 'retrieval readiness gap'.
Aug 10, 2026
Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures
Researchers propose an interaction-centric taxonomy to localize AI agent failures to specific components (e.g., model, harness, environment) rather than treating failures as monolithic system-level events, enabling targeted interventions.
Aug 3, 2026
Local Additive Feature Attribution: A Mathematical Taxonomy and Reporting Checklist
A new arXiv survey paper proposes a unified mathematical framework and reporting checklist for local additive feature attribution methods in explainable AI, aiming to clarify assumptions, compare methods axiomatically, and reduce misinterpretation of attribution outputs.
Jul 18, 2026
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey
A new arXiv preprint (2607.09666v1) publishes a comprehensive, taxonomy-driven survey of Graph Neural Network (GNN) applications across the full knowledge graph (KG) technology lifecycle — from construction to reasoning to applications — identifying gaps, strengths, limitations, and future research directions.
Jul 14, 2026
AGM-like Paraconsistent Partial Meet Abductive Expansion Operation
A new paraconsistent abductive expansion operation—AGMpabd—has been formally introduced in a peer-reviewed preprint, extending AGM belief revision theory to handle contradictory explanatory hypotheses without logical trivialization.
Jul 14, 2026
Making Failure Safe: A Constrained, Verifiable Agent Framework for Open-Web Data Collection
Researchers propose a constrained, verifiable agent framework that replaces free-form LLM-generated web scrapers with typed JSON collector configurations to improve reliability, determinism, and auditability in open-web data collection.
Published Jul 2, 2026 · Analyzed Jul 5, 2026