國立虎尾科技大學 |

Explainable and transparent AI and multi-agent systems = 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Explainable and transparent AI and multi-agent systems/ edited by Davide Calvaresi ... [et al.].
Reminder of title:	6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers /
remainder title:	EXTRAAMAS 2024
other author:	Calvaresi, Davide.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	x, 243 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Intelligent agents (Computer software) -
Online resource:	https://doi.org/10.1007/978-3-031-70074-3
ISBN:	9783031700743

Explainable and transparent AI and multi-agent systems = 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers /
Explainable and transparent AI and multi-agent systems6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers /[electronic resource] :EXTRAAMAS 2024edited by Davide Calvaresi ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 243 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,148470302-9743 ;. - Lecture notes in computer science,7131. .

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.

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.

ISBN: 9783031700743

Standard No.: 10.1007/978-3-031-70074-3doiSubjects--Topical Terms:

558701
Intelligent agents (Computer software)

LC Class. No.: QA76.76.I58 / E96 2024

Dewey Class. No.: 006.30285436

Explainable and transparent AI and multi-agent systems = 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers /
LDR:03154nam a2200361 a 4500 001 1154562
003 DE-He213
005 20240924130313.0
006 m d
007 cr nn 008maaau
008 250619s2024 sz s 0 eng d
020 $a 9783031700743 $q (electronic bk.)
020 $a 9783031700736 $q (paper)
024 7 $a 10.1007/978-3-031-70074-3 $2 doi
035 $a 978-3-031-70074-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.I58 $b E96 2024
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.30285436 $2 23
090 $a QA76.76.I58 $b E96 2024
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Explainable and transparent AI and multi-agent systems $h [electronic resource] : $b 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024 : revised selected papers / $c edited by Davide Calvaresi ... [et al.].
246 3 $a EXTRAAMAS 2024
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a x, 243 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 14847
490 1 $a Lecture notes in artificial intelligence
505 0 $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 $a 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.
650 0 $a Intelligent agents (Computer software) $3 558701
650 1 4 $a Multiagent Systems. $3 1228090
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Compilers and Interpreters. $3 1365748
650 2 4 $a Natural Language Processing (NLP) $3 1211064
650 2 4 $a Theory of Computation. $3 669322
650 2 4 $a Special Purpose and Application-Based Systems. $3 669833
700 1 $a Calvaresi, Davide. $e editor. $1 https://orcid.org/0000-0001-9816-7439 $3 1300311
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science, $x 0302-9743 ; $v 7131. $3 886830
830 0 $a Lecture notes in artificial intelligence. $3 1208301
856 4 0 $u https://doi.org/10.1007/978-3-031-70074-3
950 $a Computer Science (SpringerNature-11645)