Explainable and Transparent AI and Multi-Agent Systems : 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6–10, 2024, Revised Selected Papers / / edited by Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, Kary Främling |
Autore | Calvaresi Davide |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (247 pages) |
Disciplina | 006.30285436 |
Altri autori (Persone) |
NajjarAmro
OmiciniAndrea AydoganReyhan CarliRachele CiattoGiovanni HulstijnJoris ämlingKary |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Multiagent systems
Machine learning Compilers (Computer programs) Natural language processing (Computer science) Computer science Computers, Special purpose Multiagent Systems Machine Learning Compilers and Interpreters Natural Language Processing (NLP) Theory of Computation Special Purpose and Application-Based Systems |
ISBN | 3-031-70074-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | -- User-centric XAI. -- Effect of Agent Explanations Using Warm and Cold Language on User Adoption of Recommendations for Bandit Problem. -- Evaluation of the User-centric Explanation Strategies for Interactive Recommenders. -- Can Interpretability Layouts Influence Human Perception of Offensive Sentences?. -- A Framework for Explainable Multi-purpose Virtual Assistants: A Nutrition-Focused Case Study. -- XAI and Reinforcement Learning. -- Learning Temporal Task Specifications From Demonstrations. -- Temporal Explanations for Deep Reinforcement Learning Agents. -- An Adaptive Interpretable Safe-RL Approach for Addressing Smart Grid Supply-side Uncertainties. -- Model-Agnostic Policy Explanations: Biased Sampling for Surrogate Models. -- Neuro-symbolic AI and Explainable Machine Learning. -- Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models. -- py ciu image: a Python library for Explaining Image Classification with Contextual Importance and Utility. -- Towards interactive and social explainable artificial intelligence for digital history. -- XAI & Ethics. -- Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China. -- The Wildcard XAI: from a Necessity, to a Resource, to a Dangerous Decoy. |
Record Nr. | UNINA-9910888599203321 |
Calvaresi Davide | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Explainable and Transparent AI and Multi-Agent Systems [[electronic resource] ] : 5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, Revised Selected Papers / / edited by Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Yazan Mualla, Kary Främling |
Autore | Calvaresi Davide |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (289 pages) |
Disciplina | 006.30285436 |
Altri autori (Persone) |
NajjarAmro
OmiciniAndrea AydoganReyhan CarliRachele CiattoGiovanni MuallaYazan ämlingKary |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Multiagent systems
Machine learning Compilers (Computer programs) Natural language processing (Computer science) Computer science Computers, Special purpose Multiagent Systems Machine Learning Compilers and Interpreters Natural Language Processing (NLP) Theory of Computation Special Purpose and Application-Based Systems |
ISBN | 3-031-40878-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Explainable Agents and multi-agent systems -- Mining and Validating Belief-based Agent Explanations -- Evaluating a mechanism for explaining BDI agent behaviour -- A General-Purpose Protocol for Multi-Agent based Explanations -- Dialogue Explanations for Rules-based AI Systems -- Estimating Causal Responsibility for Explaining Autonomous Behavior -- Explainable Machine Learning -- The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing -- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors -- Imperative Action Masking for Safe Exploration in Reinforcement Learning -- Reinforcement Learning in Cyclic Environmental Change for Non-Communicative Agents: A Theoretical Approach -- Inherently Interpretable Deep Reinforcement Learning through Online Mimicking -- Counterfactual, Contrastive, and Hierarchical Explanations with Contextual Importance and Utility -- Cross-domain applied XAI -- Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification -- Metrics for Evaluating Explainable Recommender Systems -- Leveraging Imperfect Explanations for Plan Recognition Problems -- Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer Interaction -- Using Cognitive Models and Wearables to Diagnose and Predict Dementia Patient Behaviour. |
Record Nr. | UNISA-996550561503316 |
Calvaresi Davide | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Explainable and Transparent AI and Multi-Agent Systems : 5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, Revised Selected Papers / / edited by Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Yazan Mualla, Kary Främling |
Autore | Calvaresi Davide |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (289 pages) |
Disciplina | 006.30285436 |
Altri autori (Persone) |
NajjarAmro
OmiciniAndrea AydoganReyhan CarliRachele CiattoGiovanni MuallaYazan ämlingKary |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Multiagent systems
Machine learning Compilers (Computer programs) Natural language processing (Computer science) Computer science Computers, Special purpose Multiagent Systems Machine Learning Compilers and Interpreters Natural Language Processing (NLP) Theory of Computation Special Purpose and Application-Based Systems |
ISBN | 3-031-40878-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Explainable Agents and multi-agent systems -- Mining and Validating Belief-based Agent Explanations -- Evaluating a mechanism for explaining BDI agent behaviour -- A General-Purpose Protocol for Multi-Agent based Explanations -- Dialogue Explanations for Rules-based AI Systems -- Estimating Causal Responsibility for Explaining Autonomous Behavior -- Explainable Machine Learning -- The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing -- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors -- Imperative Action Masking for Safe Exploration in Reinforcement Learning -- Reinforcement Learning in Cyclic Environmental Change for Non-Communicative Agents: A Theoretical Approach -- Inherently Interpretable Deep Reinforcement Learning through Online Mimicking -- Counterfactual, Contrastive, and Hierarchical Explanations with Contextual Importance and Utility -- Cross-domain applied XAI -- Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification -- Metrics for Evaluating Explainable Recommender Systems -- Leveraging Imperfect Explanations for Plan Recognition Problems -- Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer Interaction -- Using Cognitive Models and Wearables to Diagnose and Predict Dementia Patient Behaviour. |
Record Nr. | UNINA-9910743694703321 |
Calvaresi Davide | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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