Muutke küpsiste eelistusi

E-raamat: Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems: 7th International Workshop, EXTRAAMAS 2025, Detroit, MI, USA, May 19-20, 2025, Revised Selected Papers

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formaat - EPUB+DRM
  • Hind: 61,74 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2025, held in Detroit, MI, USA, during May 19-20, 2025.



The 12 full papers and 1 short paper included in this book were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: AI interpretation & social dimensions; LLMs & generative AI in XAI; agent architectures & inter-agent explainability; and human-XAI interaction, quality & ethics.
AI Interpretation & Social Dimensions.- Enhancing Surrogate Decision
Trees for Reinforcement Learning with Feature Importance Matrices.-
Exploiting Constraint Reasoning to Build Graphical Explanations for
Mixed-Integer Linear Programming.- Explaining Autonomous Vehicles with
Intention-aware Policy Graphs.- Social Explainable AI: What Is It and How to
Make It Happen with CIU?- LLMs & Generative AI in XAI.- Evaluating Prompt
Engineering Techniques for Accuracy and Confidence Elicitation in Medical
LLMs.- LLM-based Evaluation Methodology of Explanation Strategies.- LLM-based
Evaluation Methodology of Explanation Strategies.- Agent Architectures &
Inter-Agent Explainability.- Ladder of Intentions: Unifying Agent
Architectures for Explainability and Transferability.- Engineering
Inter-Agent Explainability in BDI Agents.- Human-XAI Interaction, Quality &
Ethics.- Beyond Satisfaction: From Placebic to Actionable Explanations For
Enhanced Understandability.- Building a Decolonized AI Ethics and Governance
Framework.- Balancing Ethical Persuasion and Explanation Transparency in
XAI.- Designing for Effective Human-XAI Inter-action.