TY  - BOOK
AU  - Calvaresi,Davide
AU  - Najjar,Amro
AU  - Omicini,Andrea
AU  - Aydogan,Reyhan
AU  - Carli,Rachele
AU  - Ciatto,Giovanni
AU  - Mualla,Yazan
AU  - Främling,Kary
TI  - Explainable and Transparent AI and Multi-Agent Systems: 5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, Revised Selected Papers 
T2  - Lecture Notes in Artificial Intelligence,
SN  - 9783031408786
U1  - 630,285,436 23
PY  - 2023///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Multiagent systems
KW  - Machine learning
KW  - Compilers (Computer programs)
KW  - Natural language processing (Computer science)
KW  - Computer science
KW  - Computers, Special purpose
KW  - Multiagent Systems
KW  - Machine Learning
KW  - Compilers and Interpreters
KW  - Natural Language Processing (NLP)
KW  - Theory of Computation
KW  - Special Purpose and Application-Based Systems
N1  - Explainable Agents and multi-agent systems -- Mining and Validating Belief-based Agent Explanations -- Evaluating a mechanism for explaining BDI agent behaviour -- A General-Purpose Protocol for Multi-Agent based Explanations -- Dialogue Explanations for Rules-based AI Systems -- Estimating Causal Responsibility for Explaining Autonomous Behavior -- Explainable Machine Learning -- The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing -- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors -- Imperative Action Masking for Safe Exploration in Reinforcement Learning -- Reinforcement Learning in Cyclic Environmental Change for Non-Communicative Agents: A Theoretical Approach -- Inherently Interpretable Deep Reinforcement Learning through Online Mimicking -- Counterfactual, Contrastive, and Hierarchical Explanations with Contextual Importance and Utility -- Cross-domain applied XAI -- Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification -- Metrics for Evaluating Explainable Recommender Systems -- Leveraging Imperfect Explanations for Plan Recognition Problems -- Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer Interaction -- Using Cognitive Models and Wearables to Diagnose and Predict Dementia Patient Behaviour
N2  - This volume LNCS 14127 constitutes the refereed proceedings of the 5th International Workshop, EXTRAAMAS 2023, held in London, UK, in May 2023. The 15 full papers presented together with 1 short paper were carefully reviewed and selected from 26 submissions. The workshop focuses on Explainable Agents and multi-agent systems; Explainable Machine Learning; and Cross-domain applied XAI.
UR  - https://doi.org/10.1007/978-3-031-40878-6
ER  -