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072 7 _aCOM004000
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082 0 4 _a006.30285436
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245 1 0 _aExplainable and Transparent AI and Multi-Agent Systems
_h[electronic resource] :
_b4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9–10, 2022, Revised Selected Papers /
_cedited by Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aIX, 239 p. 38 illus., 31 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 ;
_v13283
505 0 _aExplainable Machine Learning -- Evaluation of importance estimators in deep learning classifiers for Computed Tomography -- Integration of local and global features explanation with global rules extraction and generation tools -- ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning -- Smartphone based grape leaf disease diagnosis and remedial system Assisted with explanations -- Explainable Neuro-Symbolic AI -- Recent Neural-Symbolic Approaches to ILP Based on Templates -- On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors -- Explainable Agents -- The Mirror Agent Model: a Bayesian Architecture for Interpretable Agent Behavior -- Semantic Web-based Interoperability for Intelligent Agents with PsyKE -- Case-based reasoning via comparing the strength order of features -- XAI Measures and Metrics -- Explainability Metrics and Properties for Counterfactual Explanation Methods -- The use of partial order relations and measure theory in developing objective measures of explainability -- AI & Law -- An Evaluation of Methodologies for Legal Formalization -- Risk and Exposure of XAI in Persuasion and Argumentation: The case of Manipulation -- Requirements for Tax XAI under Constitutional Principles and Human Rights.
520 _aThis book constitutes the refereed proceedings of the 4th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2022, held virtually during May 9–10, 2022. The 14 full papers included in this book were carefully reviewed and selected from 25 submissions. They were organized in topical sections as follows: explainable machine learning; explainable neuro-symbolic AI; explainable agents; XAI measures and metrics; and AI & law. .
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 _aWinikoff, Michael.
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700 1 _aFrämling, Kary.
_eeditor.
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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:
_z9783031155666
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13283
856 4 0 _uhttps://doi.org/10.1007/978-3-031-15565-9
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