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Intro; Preface; Organization; Contents; Explanation and Transparency; Towards a Transparent Deep Ensemble Method Based on Multiagent Argumentation; 1 Introduction; 2 State of Art; 2.1 Ensemble Method; 2.2 Argumentation in ML; 2.3 Explainable Intelligent Systems; 3 Method; 3.1 Arguments Extraction Phase; 3.2 Multiagent Argumentation Phase; 4 Case Study; 4.1 Data Description; 4.2 Scenarios Illustration; 5 Experimentation; 6 Conclusion; References; Effects of Agents' Transparency on Teamwork; 1 Introduction; 2 Related Work; 3 Research Design and Methods; 4 Objective and Hypothesis
4.1 Materials and Methods4.2 Metrics and Data Collection; 4.3 Procedure; 5 User Study; 5.1 Participants; 5.2 Data Analysis; 6 Discussion; 7 Conclusions; References; Explainable Robots; Explainable Multi-Agent Systems Through Blockchain Technology; 1 Introduction; 2 Background; 2.1 Trust; 2.2 Explainability; 2.3 Blockchain Technology; 3 Application Domains; 4 Challenges; 4.1 RC Scenarios; 4.2 LT Scenarios; 5 Proposed Solution; 5.1 RC; 5.2 LT; 6 Explainability and BCT: The UAVs Package Delivery Use Case; 7 Discussion; 8 Conclusions; References; Explaining Sympathetic Actions of Rational Agents
1 Introduction2 Background; 2.1 Behavioral Economics and Multi-agent Systems; 2.2 Machine Theory of Mind; 2.3 Explainable Artificial Intelligence (XAI) and Explainable Agents; 3 A Taxonomy of Goals for Sympathetic Actions; 4 Ways to Explain Sympathetic Actions; 5 Towards an Empirical Assessment; 5.1 Study Design; 5.2 Data Collection and Analysis; 5.3 Results; 5.4 Interpretation; 6 Discussion; 6.1 Sympathetic Actions of Learning Agents; 6.2 Limitations; 6.3 Future Work; 7 Conclusion; References; Conversational Interfaces for Explainable AI: A Human-Centred Approach; 1 Introduction
2 Designing a Wizard of Oz Experiment3 User Behaviour in Conversational Interfaces for XAI; 3.1 Users' Question Formulation; 3.2 Strategies of Interaction; 4 Implications for the Implementation of CIs; 4.1 The Information Privacy Trade-Off; 4.2 The Necessity of Repair Questions; 4.3 Question Intents for Better Machine Understanding; 5 Related Work; 6 Discussion; 7 Conclusion and Outlook; References; Opening the Black Box; Explanations of Black-Box Model Predictions by Contextual Importance and Utility; Abstract; 1 Introduction; 2 Background; 3 State of the Art
4 Contextual Importance and Contextual Utility5 Examples of CI and CU Method to Extract Explanation for Linear and Non-linear Models; 5.1 Visual Explanations for Car Selection Using CI and CU Method; 5.2 Explaining Iris Flower Classification Using CI and CU Method; 6 Discussion; 7 Conclusion; Acknowledgment; References; Explainable Artificial Intelligence Based Heat Recycler Fault Detection in Air Handling Unit; 1 Introduction; 2 Previous Work; 3 Theoretical Background; 3.1 Heat Recycler Unit; 3.2 Support Vector Machine; 3.3 Neural Networks; 3.4 Explainable Artificial Intelligence
4.1 Materials and Methods4.2 Metrics and Data Collection; 4.3 Procedure; 5 User Study; 5.1 Participants; 5.2 Data Analysis; 6 Discussion; 7 Conclusions; References; Explainable Robots; Explainable Multi-Agent Systems Through Blockchain Technology; 1 Introduction; 2 Background; 2.1 Trust; 2.2 Explainability; 2.3 Blockchain Technology; 3 Application Domains; 4 Challenges; 4.1 RC Scenarios; 4.2 LT Scenarios; 5 Proposed Solution; 5.1 RC; 5.2 LT; 6 Explainability and BCT: The UAVs Package Delivery Use Case; 7 Discussion; 8 Conclusions; References; Explaining Sympathetic Actions of Rational Agents
1 Introduction2 Background; 2.1 Behavioral Economics and Multi-agent Systems; 2.2 Machine Theory of Mind; 2.3 Explainable Artificial Intelligence (XAI) and Explainable Agents; 3 A Taxonomy of Goals for Sympathetic Actions; 4 Ways to Explain Sympathetic Actions; 5 Towards an Empirical Assessment; 5.1 Study Design; 5.2 Data Collection and Analysis; 5.3 Results; 5.4 Interpretation; 6 Discussion; 6.1 Sympathetic Actions of Learning Agents; 6.2 Limitations; 6.3 Future Work; 7 Conclusion; References; Conversational Interfaces for Explainable AI: A Human-Centred Approach; 1 Introduction
2 Designing a Wizard of Oz Experiment3 User Behaviour in Conversational Interfaces for XAI; 3.1 Users' Question Formulation; 3.2 Strategies of Interaction; 4 Implications for the Implementation of CIs; 4.1 The Information Privacy Trade-Off; 4.2 The Necessity of Repair Questions; 4.3 Question Intents for Better Machine Understanding; 5 Related Work; 6 Discussion; 7 Conclusion and Outlook; References; Opening the Black Box; Explanations of Black-Box Model Predictions by Contextual Importance and Utility; Abstract; 1 Introduction; 2 Background; 3 State of the Art
4 Contextual Importance and Contextual Utility5 Examples of CI and CU Method to Extract Explanation for Linear and Non-linear Models; 5.1 Visual Explanations for Car Selection Using CI and CU Method; 5.2 Explaining Iris Flower Classification Using CI and CU Method; 6 Discussion; 7 Conclusion; Acknowledgment; References; Explainable Artificial Intelligence Based Heat Recycler Fault Detection in Air Handling Unit; 1 Introduction; 2 Previous Work; 3 Theoretical Background; 3.1 Heat Recycler Unit; 3.2 Support Vector Machine; 3.3 Neural Networks; 3.4 Explainable Artificial Intelligence