Cantitate/Preț
Produs
Total produse
Vezi coșul
Explainable, Transparent Autonomous Agents and Multi-Agent Systems de Davide Calvaresi

Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Lecture Notes in Computer Science, cartea 12175

Editat de Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling
en Limba Engleză Paperback – 7 iul 2020
This book constitutes the proceedings of the Second International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2020, which was due to be held in Auckland, New Zealand, in May 2020. The conference was held virtually due to the COVID-19 pandemic.

The 8 revised and extended papers were carefully selected from 20 submissions and are presented here with one demo paper. The papers are organized in the following topical sections: explainable agents; cross disciplinary XAI; explainable machine learning; demos.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 31540 lei

Preț vechi: 39424 lei
-20%

Puncte Express: 473

Carte tipărită la comandă

Livrare economică 09-23 iulie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783030519230
ISBN-10: 3030519236
Pagini: 168
Ilustrații: X, 155 p. 63 illus., 27 illus. in color.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.27 kg
Ediția:1st edition 2020
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

​Explainable Agents.- Agent-Based Explanations in AI: Towards an Abstract Framework.-  Agent EXPRI: Licence to Explain.- In-time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap.- Cross Disciplinary XAI.- Decision Theory Meets Explainable AI.- Towards the Role of Theory of Mind in Explanation.- A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI.- Explainable Machine Learning.- Towards Demystifying Subliminal Persuasiveness - Using XAI-Techniques to Highlight Persuasive Markers of Public Speeches.- Explainable Agents for Less Bias in Human-Agent Decision Making.- Demos.- Explainable Agents as Static Web Pages: A UAV Simulation Example.