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Explainable and transparent AI and m...
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EXTRAAMAS (Workshop) (2023 :)
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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 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Explainable and transparent AI and multi-agent systems/ edited by Davide Calvaresi ... [et al.].
其他題名:
5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023 : revised selected papers /
其他題名:
EXTRAAMAS 2023
其他作者:
Calvaresi, Davide.
團體作者:
EXTRAAMAS (Workshop)
出版者:
Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:
xii, 281 p. :ill. (some col.), digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Intelligent agents (Computer software) - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-40878-6
ISBN:
9783031408786
Explainable and transparent AI and multi-agent systems = 5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023 : revised selected papers /
Explainable and transparent AI and multi-agent systems
5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023 : revised selected papers /[electronic resource] :EXTRAAMAS 2023edited by Davide Calvaresi ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xii, 281 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,141270302-9743 ;. - Lecture notes in computer science ;14127..
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.
This volume LNCS 14127 constitutes the refereed proceedings of the 5th International Workshop, EXTRAAMAS 2023, held in London, UK, in May 2023. The 15 full papers presented together with 1 short paper were carefully reviewed and selected from 26 submissions. The workshop focuses on Explainable Agents and multi-agent systems; Explainable Machine Learning; and Cross-domain applied XAI.
ISBN: 9783031408786
Standard No.: 10.1007/978-3-031-40878-6doiSubjects--Topical Terms:
582135
Intelligent agents (Computer software)
--Congresses.
LC Class. No.: QA76.76.I58
Dewey Class. No.: 006.30285436
Explainable and transparent AI and multi-agent systems = 5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023 : revised selected papers /
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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.
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