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Hybrid Systems for Knowledge Representation in Artificial Intelligence
What Do Agents Communicate? Characterizing Information Exchange in Multi-Agent Systems
Benchmarking Pathology Foundation Models for Spatial Domain Understanding
Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models
MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
Efficient Benchmarking Is Just Feature Selection and Multiple Regression
Emergence of agriculture in an artificial society of reinforcement learning agents
Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning
Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preference Learning
Sparse Compositional Flow Matching by geometric assembly from motion primitives
ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning
Safety, Liveness, and Fairness in Quantitative Argumentation Dialogues
The Communication Complexity of Instant-Runoff Voting
PhotoFlow: Agentic 3D Virtual Photography Missions
Multi-agent Collaboration with State Management
Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance
CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure
Self-Evolving Multi-Agent Systems via Decentralized Memory
The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler
Post-Training is About States, Not Tokens: A State Distribution View of SFT, RL, and On-Policy Distillation
Knowledge representation and decision making: A hybrid approach
Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning
Nash Welfare in Additively Separable Hedonic Games
RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning
DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows
Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms
Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents
Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions
Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents
Knowledge representation
Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management
PyraVid: Hierarchical Multimodal Memory for Long-Horizon Video Reasoning
S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination
MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-Loop
MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems
Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models
The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning
Vector Policy Optimization: Training for Diversity Improves Test-Time Search
Implicit Regularization of Mini-Batch Training in Graph Neural Networks
Understanding Multimodal Failure in Action-Chunking Behavioral Cloning
The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning
BeLink: Biomedical Entity Linking Meets Generative Re-Ranking
Requirements Specification for Knowledge-Based Systems
Handbook of Knowledge Representation
Preface
Knowledge Discovery from Numerical Data
AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists
DeepWeb-Bench: A Deep Research Benchmark Demanding Massive Cross-Source Evidence and Long-Horizon Derivation
Quantifying Hyperparameter Transfer and the Importance of Embedding Layer Learning Rate
Variance Reduction for Expectations with Diffusion Teachers
BootstrapAgent: Distilling Repository Setup into Reusable Agent Knowledge
Divide et Calibra: Multiclass Local Calibration via Vector Quantization
Fine-grained Claim-level RAG Benchmark for Law
AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions
ProCrit: Self-Elicited Multi-Perspective Reasoning with Critic-Guided Revision for Multimodal Sarcasm Detection
Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints
Transforming Privacy Artifacts into Accessible Reports for Non-Technical Stakeholders
RePCM: Region-Specific and Phenotype-Adaptive Bi-Ventricular Cardiac Motion Synthesis
APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents
Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation
How Much Online RL is Enough? Informative Rollouts for Offline Preference Optimization in RLVR
HaorFloodAlert: Deseasonalized ML Ensemble for 72-Hour Flood Prediction in Bangladesh Haor Wetlands
Long-term Power Grid Planning via Answer Set Programming
A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents
Atoms of Thought: Universal EEG Representation Learning with Microstates
Hybrid Approaches to Knowledge Representation and Reasoning in Artificial Intelligence Systems
Synergistic Foundation Models for Semi-Supervised Fetal Cardiac Ultrasound Analysis: SAM-Med2D Boundary Refinement and DINOv3 Semantic Enhancement
Stitched Value Model for Diffusion Alignment
Latent Laplace Diffusion for Irregular Multivariate Time Series
Chunking German Legal Code
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
The Dynamics of Policy Gradient in Social Dilemmas with Partner Selection
Beyond Scaling: Agents Are Heading to the Edge
Efficient Gradient Methods for Distributed Saddle Problems
ICRL: Learning to Internalize Self-Critique with Reinforcement Learning
Chapter 5: Expert Systems
IdeaForge: A Knowledge Graph-Grounded Multi-Agent Framework for Cross-Methodology Innovation Analysis and Patent Claim Generation
Flowing with Confidence
Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation
GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets
ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ
ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В РОБОТОТЕХНИКЕ
Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks
Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization
Rough Sets for Knowledge Representation in Artificial Intelligence Systems: A Critical Review
SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution
LongMINT: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems
Query-Conditioned Knowledge Alignment for Reliable Cross-System Medical Reasoning
Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks
NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning
Dynamic Deployment of Mobile Charging Trucks During Natural Disaster Evacuation: An Offline-to-Online Framework
Lifelong LaCAM with Local Guidance for Lifelong MAPF
When Fireflies Cluster; Enhancing Automatic Clustering via Centroid-Guided Firefly Optimization
Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data
Actionable World Representation
Code as Agent Harness
Chapter 6. Structure Representation
Commonsense Knowledge Representation I
Knowledge evolutionary process of Artificial intelligence in E-commerce: Main path analysis and science mapping analysis
Commonsense Knowledge Representation II
Differing perspectives of knowledge representation in artificial intelligence and discrete event modeling
Comparative Evaluation of the Discovered Knowledge
Shaping Zero-Shot Coordination via State Blocking
A Research Agenda on Agents and Software Engineering: Outcomes from the Rio A2SE Seminar
AgentDisCo: Towards Disentanglement and Collaboration in Open-ended Deep Research Agents
Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning
RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations
Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation
SLIP & ETHICS: Graduated Intervention for AI Emotional Companions
LoCO: Low-rank Compositional Rotation Fine-tuning
Learning Sim-Grounded Policies for Bimanual Rope Manipulation from Human Teleoperation Data
RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents
XSearch: Explainable Code Search via Concept-to-Code Alignment
Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification
Chapter 21. Evaluation of Knowledge-based Systems
When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling
Decoupled Planning for Multiple Omega-Regular Objectives
Hybrid Approaches to Knowledge Representation and Reasoning in Artificial Intelligence Systems
Chapter 7: Knowledge Acquisition
Chapter 8: Knowledge Representation
Knowledge-based Expert Systems in Chemistry
CANTANTE: Optimizing Agentic Systems via Contrastive Credit Attribution
Discrete Diffusion for Complex and Congested Multi-Agent Path Finding with Sparse Social Attention
VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction
FutureSim: Replaying World Events to Evaluate Adaptive Agents
Multi-Agentic Approach for History Matching of Oil Reservoirs
AI Knows When It's Being Watched: Functional Strategic Action and Contextual Register Modulation in Large Language Models
A Prototyping Framework for Distributed Control of Multi-Robot Systems
APWA: A Distributed Architecture for Parallelizable Agentic Workflows
Knowledge-Driven Marketing Management Support Systems I: Artificial Intelligence, Knowledge Representation, and Expert Systems
DCSG: A Logic Grammar for Knowledge Representation of Hierarchically Organized Objects
SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces
Intermediate Artifacts as First-Class Citizens: A Data Model for Durable Intermediate Artifacts in Agentic Systems
Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries
Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning
ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both
EntityBench: Towards Entity-Consistent Long-Range Multi-Shot Video Generation
Negation Neglect: When models fail to learn negations in training
Quantifying Sensitivity for Tree Ensembles: A symbolic and compositional approach
Topology-Preserving Neural Operator Learning via Hodge Decomposition
EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents
WARDEN: Endangered Indigenous Language Transcription and Translation with 6 Hours of Training Data

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