Titlebook: Explainable, Transparent Autonomous Agents and Multi-Agent Systems; First International Davide Calvaresi,Amro Najjar,Kary Fr?mling Confere

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Effects of Agents’ Transparency on Teamworkfferent conditions, manipulating the transparency in a team. The results showed an interaction effect between the agents’ strategy and transparency on trust, group identification and human-likeness. Our results suggest that transparency has a positive effect in terms of people’s perception of trust,

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Explainable Multi-Agent Systems Through Blockchain Technologyer-centricity. This paper proposes a joint approach employing both blockchain technology (BCT) and explainability in the decision-making process of MAS. By doing so, current opaque decision-making processes can be made more transparent and secure and thereby trustworthy from the human user standpoin

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Explaining Sympathetic Actions of Rational Agentsferent explanation approaches autonomous agents may use. In this context, we focus on human-agent interaction scenarios. As a first step towards an empirical evaluation, we conduct a preliminary human-robot interaction study that investigates the effect of explanations of (somewhat) sympathetic robo

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Conversational Interfaces for Explainable AI: A Human-Centred Approachtegies could be verified. Stated results illustrate the vast variety in human communication and disclose both requirements of users and obstacles in the implementation of protocols for interacting agents. Finally, we inferred essential indications for the implementation of such a CI. The findings sh

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