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Explainable and Transparent AI and Multi-Agent Systems -

Explainable and Transparent AI and Multi-Agent Systems

5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, Revised Selected Papers
Buch | Softcover
XII, 281 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-40877-9 (ISBN)
CHF 86,85 inkl. MwSt
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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.

 


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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XII, 281 p. 69 illus., 47 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 451 g
Themenwelt Informatik Theorie / Studium Compilerbau
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Compilers and interpreters • Computing most probable explanation • Knowledge Representation and Reasoning • Law • machine learning • Multiagent Systems • Natural Language Processing (NLP) • rule learning • Social and behavioral sciences • Special purpose and application-based systems • Theory of Computation
ISBN-10 3-031-40877-2 / 3031408772
ISBN-13 978-3-031-40877-9 / 9783031408779
Zustand Neuware
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