Buch, Englisch, 238 Seiten, Format (B × H): 155 mm x 235 mm
36th Benelux Conference, BNAIC/Benelearn 2024, Utrecht, The Netherlands, November 18–20, 2024, Revised Selected Papers
Buch, Englisch, 238 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-31605-9
Verlag: Springer
This book constitutes the revised selected papers of the 36th Benelux Conference on Artificial Intelligence, BNAIC/ Benelearn 2024, held in Utrecht, The Netherlands, during November 18-20, 2024.
The 13 full papers included in this volume were carefully reviewed and selected from 58 submissions. They focus on latest research trends in AI-related Technologies, Artificial Intelligence and Machine Learning.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik
- Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
.- Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution.
.- Reinforcement Learning of Action Sequences in Table Football.
.- Exploring RL-based LLM Training for Formal Language Tasks with Programmed Rewards.
.- Nested Monte-Carlo Search for Scheduling an Automated Guided Vehicle in a Blocking Job-Shop.
.- What To Do Next? A Comparative Study of Human and Rational Decision-Making.
.- Empirical Capacity Model for Self-Attention Neural Networks.
.- Non-Parametric Path Based Model for Taxonomy Induction in Knowledge Graphs.
.- Improving Stance Detection by Leveraging Measurement Knowledge from Social Sciences: A Case Study of Dutch Political Tweets and Traditional Gender Role Division.
.- Generative AI-Based Virtual Assistant Using Retrieval-Augmented Generation: An evaluation study for bachelor projects.
.- Real-time Optimization of Industrial Processes Using Deep Reinforcement Learning.
.- Analyzing the interplay between societal trends and socio-demographic variables with local pattern mining: Discovering exceptional trends in adolescent alcohol use in the Netherlands.
.- Monotone Oblique Decision Trees.
.- High stakes for LLMs: Analysis of Bias in BERT-based Recommender Systems.
