Explainable and Transparent AI and Multi-Agent Systems
4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9-10, 2022, Revised Selected Papers
Published on 23. September 2022
Book
Paperback/Softback
IX, 239 pages
978-3-031-15564-2 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
31 farbige Abbildungen, 7 s/w Abbildungen
IX, 239 p. 38 illus., 31 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
388 gr
ISBN-13
978-3-031-15564-2 (9783031155642)
DOI
10.1007/978-3-031-15565-9
Schweitzer Classification
Other editions
Additional editions
Davide Calvaresi | Amro Najjar | Michael Winikoff
Explainable and Transparent AI and Multi-Agent Systems
4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9-10, 2022, Revised Selected Papers
E-Book
09/2022
Springer
€53.49
Available for download
Content
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.