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Explainable and Transparent AI and Multi-Agent Systems

Overview of attention for book
Cover of 'Explainable and Transparent AI and Multi-Agent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 To Pay or Not to Pay Attention: Classifying and Interpreting Visual Selective Attention Frequency Features
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    Chapter 2 GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors
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    Chapter 3 Comparison of Contextual Importance and Utility with LIME and Shapley Values
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    Chapter 4 ciu.image: An R Package for Explaining Image Classification with Contextual Importance and Utility
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    Chapter 5 Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search
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    Chapter 6 Visual Explanations for DNNs with Contextual Importance
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    Chapter 7 Towards Explainable Recommendations of Resource Allocation Mechanisms in On-Demand Transport Fleets
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    Chapter 8 A Two-Dimensional Explanation Framework to Classify AI as Incomprehensible, Interpretable, or Understandable
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    Chapter 9 Towards Explainable Visionary Agents: License to Dare and Imagine
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    Chapter 10 Towards an XAI-Assisted Third-Party Evaluation of AI Systems: Illustration on Decision Trees
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    Chapter 11 What Does It Cost to Deploy an XAI System: A Case Study in Legacy Systems
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    Chapter 12 Explainable AI (XAI) Models Applied to the Multi-agent Environment of Financial Markets
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    Chapter 13 Toward XAI & Human Synergies to Explain the History of Art: The Smart Photobooth Project
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    Chapter 14 Assessing Explainability in Reinforcement Learning
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    Chapter 15 Schedule Explainer: An Argumentation-Supported Tool for Interactive Explanations in Makespan Scheduling
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    Chapter 16 Towards Explainable Practical Agency
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    Chapter 17 Explainable Reasoning in Face of Contradictions: From Humans to Machines
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    Chapter 18 Towards Transparent Legal Formalization
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    Chapter 19 Applying Abstract Argumentation to Normal-Form Games
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    Chapter 20 Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge
Attention for Chapter 11: What Does It Cost to Deploy an XAI System: A Case Study in Legacy Systems
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Readers on

mendeley
4 Mendeley
Summary
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Chapter title
What Does It Cost to Deploy an XAI System: A Case Study in Legacy Systems
Chapter number 11
Book title
Explainable and Transparent AI and Multi-Agent Systems
Published by
Springer, Cham, July 2021
DOI 10.1007/978-3-030-82017-6_11
Book ISBNs
978-3-03-082016-9, 978-3-03-082017-6
Authors

Höhn, Sviatlana, Faradouris, Niko

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Unknown 2 50%
Readers by discipline Count As %
Earth and Planetary Sciences 2 50%
Unknown 2 50%

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