Explainable and Transparent AI and Multi-Agent Systems
Springer International Publishing (Verlag)
978-3-031-15564-2 (ISBN)
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.
| Erscheinungsdatum | 25.09.2022 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | IX, 239 p. 38 illus., 31 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Compilerbau |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Artificial Intelligence • Autonomous Agents • Computer Networks • computer programming • Data Mining • Deep learning • Formal Languages • Formal Logic • Fuzzy Logic • Fuzzy Sets • Genetic algorithms • Intelligent Agents • Interpretability • Knowledge-Based System • Logic Programming • machine learning • multiagent system • Multiagent Systems • Neural networks • Ontologies • Semantics |
| ISBN-10 | 3-031-15564-5 / 3031155645 |
| ISBN-13 | 978-3-031-15564-2 / 9783031155642 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
