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Explainable and Transparent AI and Multi-Agent Systems : 4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9-10, 2022, Revised Selected Papers / edited by Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Calvaresi, Davide, Editor.
Najjar, Amro, Editor.
Winikoff, Michael, Editor.
Främling, Kary, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13283
Lecture Notes in Artificial Intelligence, 2945-9141 ; 13283
Language:
English
Subjects (All):
Multiagent systems.
Machine learning.
Compilers (Computer programs).
Natural language processing (Computer science).
Computer science.
Computers, Special purpose.
Multiagent Systems.
Machine Learning.
Compilers and Interpreters.
Natural Language Processing (NLP).
Theory of Computation.
Special Purpose and Application-Based Systems.
Local Subjects:
Multiagent Systems.
Machine Learning.
Compilers and Interpreters.
Natural Language Processing (NLP).
Theory of Computation.
Special Purpose and Application-Based Systems.
Physical Description:
1 online resource (IX, 239 pages) : 38 illustrations, 31 illustrations in color.
Edition:
1st ed. 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
System Details:
text file PDF
Summary:
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 and law. .
Contents:
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 and 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.
Other Format:
Printed edition:
ISBN:
978-3-031-15565-9
9783031155659
Access Restriction:
Restricted for use by site license.

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