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