Lecture Notes in Artificial Intelligence : Case-Based Reasoning Research and Development : 34th International Conference, ICCBR 2026, Bremen, Germany, August 13-16, 2026, Proceedings.DE (Lecture Notes in Computer Science)

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Lecture Notes in Artificial Intelligence : Case-Based Reasoning Research and Development : 34th International Conference, ICCBR 2026, Bremen, Germany, August 13-16, 2026, Proceedings.DE (Lecture Notes in Computer Science)

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Description

This book constitutes the refereed proceedings of the 34th International Conference on Case-Based Reasoning Research and Development, ICCBR 2026, held in Bremen, Germany, during August 13 16, 2026.

The 36 full papers included in this book were carefully reviewed and selected from 85 submissions. They were organized in topical sections as follows: Foundations, Retrieval, and the State of CBR; Explainable, Multimodal, and Responsible CBR; LLM-Based CBR: Prompting, Adaptation, and Generation; CBR for Dynamic Real-World Domains and Applications; Security, Workflows, and CBR Development; 

 

.- The Changing Shape of Case-Based Reasoning: A Topic-Level Analysis & Call-to-Action for Modern CBR.

.- Exploring Embedding Spaces for Case-Based Reasoning: Geometry, Coherence, and Human Alignment.

.- An adaptation-guided and efficient case retrieval approach based on a dichotomy of the case space.

.- Failure-Aware Matching-Based Adaptation for Generalisable Reuse.

.- Case-Based Adaptation and Retrieval-Augmented Self-Reflection for Multi-Label Classification.

.- An Empirical Investigation of Bias and Unfairness in Case-Based Adaptation.

.- Hierarchical Contrastive Learning with Explanation-Aware Training for Case-Based APT Recognition.

.- Combining Deep Learning and Large Language Models for Retrieval-Based Image Classification.

.- SSNN-XCBR: A Siamese-Spiking Neural Network Architecture for Audio Case-Based Explanations.

.- Case-Based Interpretability in Graph-Level Anomaly Detection via Contrast with Normal Prototypes.

.- Explanation of Similarities in Temporal Case-Based Reasoning by Visualization.

.- Explaining AlignLLM: Case Alignment in LLM-as-a-Judge Systems.

.- Component-Aware Case Retrieval for Professional Ethics with Ontology-Constrained LLM Extraction.

.- GenWriter 2.0: A Hybrid Case-Based and LLM Rewriting Approach for Mitigating Implicit Gender Cues in Text.

.- Top-Down Hyperbolic Case Retrieval for Few-Shot Hierarchical Ordinal Text Classification.

.- Case-Based Prompt Learning for SO2 Pump Scheduling.

.- Hallucinations Considered Helpful: Increasing Case Base Competence with LLM-Hallucinated Cases.

.- Keep Adaptation Simple: Implicit vs. Explicit Adaptation for LLM-Based CBR.

.- TextBFGS: A Case-Based Reasoning Approach to Code Optimization via Error-Operator Retrieval.

.- NegLLM: Enhancing Strategic LLM Negotiation Agents with Case-Based Reasoning.

.- Beyond Trajectory: Explicit Case-Based Memory for Decision-Making in Multimodal GUI Agents.

.- Retrieving Precedents, Adapting Tool Plans, and Revising Judgments: Case-Based Reasoning for Zero-shot Multimodal Harmful Content Detection.

.- Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use.

.- ProtoCase: Case-Based Repair for LLM-Generated Security Protocol Models.

.- From Redundancy to Precision: A CBR-Aligned Compressed Tree-based Case Repository for Enhancing Large Language Model Reasoning.

.- InterruptSense: Uncertainty-Aware Multimodal CBR for Interruptibility Detection in Knowledge Work.

.- IceCBR: Climate-Aware Case Adaptation for Non-Stationary Arctic Sea-Ice Forecasting.

.- A Large-Small Model Coordination Framework based on Tactical Case-Based Reasoning Reward Machine for Adversarial Game Scenarios.

.- Case-Based Causal Reasoning for Elite Basketball Decision Support: A Human-in-the-Loop Approach to Clutch-Time Strategy Recommendation.

.- A Case-Based Reasoning System for Meteorological Event Analysis Integrating Multi-Source Observational Data.

.- Case-Based Identification of Anti-Coagulation Therapy for Pregnant Women Using Approximation and Interpolation of Sequences.

.- Knowledge-Guided Generative Adaptation in Case-Based Reasoning for Automatic Art Exhibition Generation.

.- CBR-PAR: LLM-Augmented Case-Based Reasoning for Provenance-Based Alert Reduction.

.- Vision-Based Retrieval of Semantic Workflows in Process-Oriented Case-Based Reasoning.

.- Neuro-Symbolic Temporal Reasoning: A Hybrid Case-Based Approach for Robust Expiration Date Recognition.

.- Challenges and Support Potentials in the Development of CBR Applications.


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