The Bites Eclectic: Critique-Based Conversational Recommendation for Diversity-Focused Meal Planning -- Evaluation of Similarity Measures for Flight Simulator Training Scenarios -- Instance-based Counterfactual Explanations for Time Series Classification. -User Evaluation to Measure the Perception of Similarities Measures in Artworks -- Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities -- A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries -- Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists -- Revisiting Fast and Slow Thinking in Case-Based Reasoning -- Harmonizing Case Retrieval and Adaptation with Alternating Optimization -- Adaptation knowledge discovery using positive and negative cases -- When Revision-Based Case Adaptation Meets Analogical Extrapolation -- Inferring Case-Based Reasoners' Knowledge to Enhance Interactivity -- A case-based approach for the selectionof explanation algorithms in image classification -- Towards Richer Realizations of Holographic CBR. -Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future -- Case-Based Approach to Data-to-Text Generation. - On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval -- Task and Situation Structures for Case-based Planning -- Learning Adaptations for Case-Based Classification: A Neural Network Approach -- Similar Questions Correspond to Similar SQL Queries: A Case-Based Reasoning Approach for Text-to-SQL Translation -- Deciphering Ancient Chinese Oracle Bone Inscriptions using Case-Based Reasoning.

This book constitutes the proceedings of the 29th International Conference on Case-Based Reasoning, ICCBR 2021, which took place in Salamanca, Spain, during September 13-16, 2021. The 21 papers presented in this volume were carefully reviewed and selected from 85 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI).