Searching Museum Routes using CBR,- Comparative Evaluation of Rule-Based and Case-Based Retrieval Coordination for Search of Architectural Building Designs,- Case Representation and Similarity Assessment in the selfBACK Decision Support System,- Accessibility-driven cooking system,- Inferring Users' Critiquing Feedback on Recommendations from Eye Movements -- Eager to be lazy: Towards a Complexity-guided Textual Case-Based Reasoning System -- Personalized Opinion-based Recommendation -- Concept Discovery and Argument Bundles in the Experience Web -- Incorporating Transparency During Trust-Guided Behavior Adaptation -- Inferring Student Coding Goals Using Abstract Syntax Trees -- Combining CBR and Deep Learning to Generate Surprising Recipe Designs -- Qualitative Case-based Reasoning for Humanoid Robot Soccer: a new retrieval and reuse algorithm -- Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical features -- Similarity Metrics from Social Network Analysisfor Content Recommender Systems -- Analogical Transfer in RDFS, Application to Cocktail Name Adaptation -- Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case Compression -- Applicability of Case-based Reasoning for Selection of Cyanide-free Gold Leaching Methods -- Competence Guided Casebase Maintenance for Compositional Adaptation Applications -- On the Transferability of Process-oriented Cases -- Case Completion of Workows for Process-Oriented Case-Based Reasoning -- Refinement-based Similarity Measures for Directed Labeled Graphs -- FEATURE-TAK - Framework for Extraction, Analysis, and Transformation of Unstructured Textual Aircraft Knowledge -- Knowledge Extraction and Annotation for Cross-Domain Textual Case Based Reasoning in Biologically Inspired Design -- Predicting the Electricity Consumption of Buildings: An Improved CBR Approach -- Case Representation and Retrieval Techniques for Neuroanatomical Connectivity Extraction from PubMed -- Compositional Adaptation of Explanations in Textual Case-based Reasoning -- Relevance Matrix Generation using Sensitivity Analysis in a Case-Based Reasoning Environment -- Combining Case-Based Reasoning and Reinforcement Learning for Tactical Unit Selection in Real-Time Strategy Game AI.

This book constitutes the refereed proceedings of the 24th International Conference on Case-Based Reasoning Research and Development, ICCBR 2016, held in Atlanta, GA, USA, in October/November 2016. The 14 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers cover a wide range of CBR topics that are of interest both to researchers and practitioners from foundations of Case-Based Reasoning; over CBR systems for specific tasks and related fields; up to CBR systems, applications and lessons learned in specific areas of expertise such as health; e-science; finance; energy, logistics, traffic; game/AI; cooking; diagnosis, technical support; as well as knowledge and experience management.