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245 1 0 _aExplainable and Transparent AI and Multi-Agent Systems
_h[electronic resource] :
_b5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, Revised Selected Papers /
_cedited by Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Yazan Mualla, Kary Främling.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXII, 281 p. 69 illus., 47 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14127
505 0 _aExplainable 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.
520 _aThis 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. .
650 0 _aMultiagent systems.
650 0 _aMachine learning.
650 0 _aCompilers (Computer programs).
650 0 _aNatural language processing (Computer science).
650 0 _aComputer science.
650 0 _aComputers, Special purpose.
650 1 4 _aMultiagent Systems.
650 2 4 _aMachine Learning.
650 2 4 _aCompilers and Interpreters.
650 2 4 _aNatural Language Processing (NLP).
650 2 4 _aTheory of Computation.
650 2 4 _aSpecial Purpose and Application-Based Systems.
700 1 _aCalvaresi, Davide.
_eeditor.
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700 1 _aNajjar, Amro.
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700 1 _aOmicini, Andrea.
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700 1 _aAydogan, Reyhan.
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700 1 _aCarli, Rachele.
_eeditor.
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700 1 _aCiatto, Giovanni.
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700 1 _aMualla, Yazan.
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700 1 _aFrämling, Kary.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783031408793
830 0 _aLecture Notes in Artificial Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-40878-6
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