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Explainable and Transparent AI and Multi-Agent Systems: 4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 910, 2022, Revised Selected Papers 1st ed. 2022 [Pehme köide]

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  • Formaat: Paperback / softback, 239 pages, kõrgus x laius: 235x155 mm, kaal: 391 g, 31 Illustrations, color; 7 Illustrations, black and white; IX, 239 p. 38 illus., 31 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 13283
  • Ilmumisaeg: 23-Sep-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031155645
  • ISBN-13: 9783031155642
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Explainable and Transparent AI and Multi-Agent Systems: 4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 910, 2022, Revised Selected Papers 1st ed. 2022Suurem pilt
  • Formaat: Paperback / softback, 239 pages, kõrgus x laius: 235x155 mm, kaal: 391 g, 31 Illustrations, color; 7 Illustrations, black and white; IX, 239 p. 38 illus., 31 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 13283
  • Ilmumisaeg: 23-Sep-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031155645
  • ISBN-13: 9783031155642
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031155642.html
Märksõnad:
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. 

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.