EXTRAAMAS

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International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (2019— )
description

The International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS) runs since 2019, and is a well-established workshop and forum aiming at discussing and disseminating research on explainable artificial intelligence, with a particular focus on intra/inter-agent explainability and cross-disciplinary perspectives.

links
8 events in the series
publications
Publication_icon.svg Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems (2025) • Publication_icon.svg Preface (2025) • Publication_icon.svg Explainable, Transparent Autonomous Agents and Multi-Agent Systems (2024) • Publication_icon.svg Preface (2024) • Publication_icon.svg Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (2023) • Publication_icon.svg A General-Purpose Protocol for Multi-Agent based Explanations (2023) • Publication_icon.svg Explainable and Transparent AI and Multi-Agent Systems (2023) • Publication_icon.svg Preface (2023) • Publication_icon.svg The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing (2023) • Publication_icon.svg On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors (2022) • Publication_icon.svg Semantic Web-based Interoperability for Intelligent Agents with PSyKE (2022) • Publication_icon.svg Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge (2021) • Publication_icon.svg GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (2021) • Publication_icon.svg Towards Explainable Visionary Agents: License to Dare and Imagine (2021) • Publication_icon.svg Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search (2021) • Publication_icon.svg Agent-Based Explanations in AI: Towards an Abstract Framework (2020) • Publication_icon.svg Explainable, Transparent Autonomous Agents and Multi-Agent Systems (2020) • Publication_icon.svg Explainable, Transparent Autonomous Agents and Multi-Agent Systems (2019)
talks
Talk_icon.svg Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (29/05/2023) • Talk_icon.svg A General-Purpose Protocol for Multi-Agent based Explanations (29/05/2023) • Talk_icon.svg The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing (29/05/2023) • Talk_icon.svg On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors (09/05/2022) • Talk_icon.svg Semantic Web-based Interoperability for Intelligent Agents with PSyKE (09/05/2022) • Talk_icon.svg Agents Explaining to Agents (04/05/2021) • Talk_icon.svg GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (03/05/2021) • Talk_icon.svg Towards Explainable Visionary Agents: License to Dare and Imagine (03/05/2021) • Talk_icon.svg Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search (03/05/2021) • Talk_icon.svg Agent-Based Explanations in AI: Towards an Abstract Framework (09/05/2020)