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Produktbild: Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems
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Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems 8th International Workshop, EXTRAAMAS 2026, Paphos, Cyprus, May 25–26, 2026, Revised Selected Papers

Aus der Reihe Lecture Notes in Computer Science

59,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.10.2026

Abbildungen

XX, 434 p.

Herausgeber

Davide Calvaresi + weitere

Verlag

Springer

Seitenzahl

434

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-38435-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.10.2026

Abbildungen

XX, 434 p.

Herausgeber

Verlag

Springer

Seitenzahl

434

Maße (B/H)

15,5/23,5 cm

Sprache

Englisch

ISBN

978-3-032-38435-5

Herstelleradresse

Springer Nature Customer Service Center GmbH
Europaplatz 3
69115 Heidelberg
DE
ProductSafety@springernature.com

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  • Produktbild: Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems

  • .- Foundations & Limits of Explainability in Agentic Systems.

    .- Making AI Memory Transparent: Explainability for Persistent State in Agentic Systems.

    .- Predicting the Cost of Explanations in Optimisation Problems.

    .- The Illusion of Explainability with LLMs and LLM-Agents.

    .- Explainable Agentic Oversight: A Multi-Agent System for Transparent Groundwater Regulatory Decision Support.

    .- Trust, Ethics, and Human-Centred Explainable AI.    

    .- Social Dynamics of Trust Formation in XAI Systems: A Multi-Agent Approach.

    .- Perceived Trustworthiness of Large Language Models and Attitudes Toward Them: Differences by Gender, Age, and Culture.

    .- Auditing LLM Multi-Agent Systems via Protocolized Interaction Traces: A TradingAgents Case Study.

    .- Bias Mitigation in Quantum Machine Learning: A Fairness Analysis of the COMPAS Dataset.

    .- Designing a Trustworthy Intelligent Agent for Legal Reasoning with Logic Programming.

    .- Shattering the Illusion of Formal Compliance: Digital Consent as an Explainable Socio-Technical Process.

    .- Emergence of Secondary Norm from Distributed Interaction of Autonomous Agents.

    .- Methods for Explainability: Argumentation, Learning, and Hybrid AI.

    .- ArgMLLMs: Argumentative Multimodal Safety Judgements with Contestable Reasoning.

    .- Towards Trustworthy Temporal Event Reasoning: A Formal Neuro-Symbolic Framework for Constraint-Aware and Provenance-Grounded Decision Support.

    .- M2-PALE: A Framework for Explaining Multi-Agent MCTS–Minimax Hybrids via Process Mining and LLMs.

    .- Critic-Driven Voronoi-Quantization for Distilling Deep RL Policies to Interpretable Models.

    .- Systems and Applications of Explainable Multi-Agent Systems.

    .- Evolutionary Rule Extraction from Corporate Default Prediction Models.

    .- User-Adapted and Interactive Explainability with Knowledge Graphs.

    .- Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation.

    .- Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory.

    .- Talk2Prolog: from Controlled Natural Language to Prolog, Frugally and Explainably.

    .- Toward Explanatory Equilibrium: Verifiable Reasoning as a Coordination Mechanism under Asymmetric Information.

    .- Exploring Vision Features with Sparse Autoencoders: An Interactive Demo.