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020		▼a9783031700743▼9978-3-031-70074-3
024		▼a10.1007/978-3-031-70074-3▼2doi
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245	00	▼aExplainable and Transparent AI and Multi-Agent Systems▼h[electronic resource] :▼b6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6–10, 2024, Revised Selected Papers /▼cedited by Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, Kary Främling.
250		▼a1st ed. 2024.
264		▼aCham :▼bSpringer Nature Switzerland :▼bImprint: Springer,▼c2024.
300		▼aX, 243 p. 79 illus., 70 illus. in color.▼bonline resource.
336		▼atext▼btxt▼2rdacontent
337		▼acomputer▼bc▼2rdamedia
338		▼aonline resource▼bcr▼2rdacarrier
347		▼atext file▼bPDF▼2rda
490		▼aLecture Notes in Artificial Intelligence,▼x2945-9141 ;▼v14847
505		▼a -- 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.
520		▼aThis volume constitutes the papers of several workshops which were held in conjunction with the 6th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2024, in Auckland, New Zealand, during May 6–10, 2024. The 13 full papers presented in this book were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: User-centric XAI; XAI and Reinforcement Learning; Neuro-symbolic AI and Explainable Machine Learning; and XAI & Ethics.
650		▼aMultiagent systems.
650		▼aMachine learning.
650		▼aCompilers (Computer programs).
650		▼aNatural language processing (Computer science).
650		▼aComputer science.
650		▼aComputers, Special purpose.
650		▼aMultiagent Systems.
650		▼aMachine Learning.
650		▼aCompilers and Interpreters.
650		▼aNatural Language Processing (NLP).
650		▼aTheory of Computation.
650		▼aSpecial Purpose and Application-Based Systems.
700		▼aCalvaresi, Davide.▼eeditor.▼0(orcid)0000-0001-9816-7439▼1https://orcid.org/0000-0001-9816-7439▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aNajjar, Amro.▼eeditor.▼0(orcid)0000-0001-7784-6176▼1https://orcid.org/0000-0001-7784-6176▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aOmicini, Andrea.▼eeditor.▼0(orcid)0000-0002-6655-3869▼1https://orcid.org/0000-0002-6655-3869▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aAydogan, Reyhan.▼eeditor.▼0(orcid)0000-0002-5260-9999▼1https://orcid.org/0000-0002-5260-9999▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aCarli, Rachele.▼eeditor.▼0(orcid)0000-0002-8689-285X▼1https://orcid.org/0000-0002-8689-285X▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aCiatto, Giovanni.▼eeditor.▼0(orcid)0000-0002-1841-8996▼1https://orcid.org/0000-0002-1841-8996▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aHulstijn, Joris.▼eeditor.▼0(orcid)0000-0002-5476-1062▼1https://orcid.org/0000-0002-5476-1062▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aFrämling, Kary.▼eeditor.▼0(orcid)0000-0002-8078-5172▼1https://orcid.org/0000-0002-8078-5172▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
710		▼aSpringerLink (Online service)
773		▼tSpringer Nature eBook
776		▼iPrinted edition:▼z9783031700736
776		▼iPrinted edition:▼z9783031700750
830		▼aLecture Notes in Artificial Intelligence,▼x2945-9141 ;▼v14847
856		▼uhttps://doi.org/10.1007/978-3-031-70074-3
912		▼aZDB-2-SCS
912		▼aZDB-2-SXCS
912		▼aZDB-2-LNC
950		▼aComputer Science (SpringerNature-11645)
950		▼aComputer Science (R0) (SpringerNature-43710)

Explainable and Transparent AI and Multi-Agent Systems[electronic resource] :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

종류

전자책

서명

저자명

Calvaresi Davide. editor Najjar Amro. editor Omicini Andrea. editor Aydogan Reyhan. editor Carli Rachele. editor Ciatto Giovanni. editor Hulstijn Joris. editor Främling Kary. editor

판 사항

1st ed. 2024.

형태사항

X, 243 p 79 illus, 70 illus in color online resource.

주기사항

This volume constitutes the papers of several workshops which were held in conjunction with the 6th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2024, in Auckland, New Zealand, during May 6–10, 2024. The 13 full papers presented in this book were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: User-centric XAI; XAI and Reinforcement Learning; Neuro-symbolic AI and Explainable Machine Learning; and XAI & Ethics.

내용주기

/ 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.

ISBN

9783031700743

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