Haqbeen / Hadfi / Ito | Democracy and AI & Game AI Algorithms and Multi-Agent Learning | Buch | 978-981-959666-9 | www.sack.de

Buch, Englisch, 127 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Artificial Intelligence

Haqbeen / Hadfi / Ito

Democracy and AI & Game AI Algorithms and Multi-Agent Learning

The 6th International Workshop on Democracy and AI, DemocrAI 2025, and the 2nd Workshop on Game AI Algorithms and Multi-Agent Learning, GAAMAL 2025, Held in Conjunction with IJCAI 2025, Montreal, QC, Canada, August 16-22, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-981-959666-9
Verlag: Springer Verlag, Singapore

The 6th International Workshop on Democracy and AI, DemocrAI 2025, and the 2nd Workshop on Game AI Algorithms and Multi-Agent Learning, GAAMAL 2025, Held in Conjunction with IJCAI 2025, Montreal, QC, Canada, August 16-22, 2025, Proceedings

Buch, Englisch, 127 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Artificial Intelligence

ISBN: 978-981-959666-9
Verlag: Springer Verlag, Singapore


This book constitutes the proceedings of the The 6th International Workshop on Democracy and AI, DemocrAI 2025, and the 2nd Workshop on Game AI Algorithms and Multi-Agent Learning, GAAMAL 2025, Held in Conjunction with IJCAI 2025, Montreal, QC, Canada, August 16–22, 2025, Proceedings

The 05 full papers presented here were carefully reviewed and selected from 13 submissions. AI-driven technologies are reshaping how information and services are processed, monitored, and managed, with profound implications for evidence-based policy planning, democratic decision-making, and public service delivery.

Haqbeen / Hadfi / Ito Democracy and AI & Game AI Algorithms and Multi-Agent Learning jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- Analysis Deep Learning Based Multimodal Human Activity Recognition in Smart Homes Using SDHAR-HOME.
.- Finding Our Moral Values: Guidelines for Value System Aggregation.
.- Democracy as a scaled collective intelligence process: points of vulnerability and augmentation.
.- LLMs in Court: Risks and Governance of LLMs in Judicial Decision-Making.
.- The Effects of an AI Participant on Online Group Deliberation: Evidence from a Controlled Study with Afghan Youth.
.- Multi-Agent Learning.
.- Large Batch Sharing.
.- Diversified Experience Replay for Multi-Agent Reinforcement Learning.
.- Game AI Algorithms.
.- Making Mahjong Agents Interpretable: A Parameterized Search Approach.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.