Explainable and Transparent AI and Multi-Agent Systems  4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9-10, 2022, Revised Selected Papers /  [electronic resource] : 
edited by Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling. 
 - 1st ed. 2022. 
 - IX, 239 p. 38 illus., 31 illus. in color.  online resource. 
 - Lecture Notes in Artificial Intelligence,  13283  2945-9141 ; .
 - Lecture Notes in Artificial Intelligence,  13283 .
<br/><br/>Explainable 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. 
<br/><br/> This 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. . 
<br/><br/><label>ISBN: </label>9783031155659 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-15565-9  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Multiagent systems.<br/>Machine learning.<br/>Compilers (Computer programs).<br/>Natural language processing (Computer science).<br/>Computer science.<br/>Computers, Special purpose.<br/>Multiagent Systems.<br/>Machine Learning.<br/>Compilers and Interpreters.<br/>Natural Language Processing (NLP).<br/>Theory of Computation.<br/>Special Purpose and Application-Based Systems.
<br/><br/><label>LC Class. No.: </label>QA76.76.I58 
<br/><br/><label>Dewey Class. No.: </label>006.30285436