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Agents and Artificial Intelligence : 14th International Conference, ICAART 2022, Virtual Event, February 3-5, 2022, Revised Selected Papers / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13786
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 13786
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Artificial Intelligence.
- Local Subjects:
- Artificial Intelligence.
- Physical Description:
- 1 online resource (XII, 227 pages) : 109 illustrations, 104 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book contains the revised and extended versions of selected papers from the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, which took place virtually during February 3-5, 2022. The conference was originally planned to take place in Vienna, Austria, but had to change to an online format due to the COVID-19 pandemic. The 9 full papers included in this book were carefully reviewed and selected from 302 submissions. They were organized in topical sections as follows: agents; artificial intelligence.
- Contents:
- Agents
- Efficient Visual Sign Assignment for Crowd Evacuation Guidance Considering Risks and Multiple Objectives
- Negotiation Protocol with Learned Handover of Important Tasks for Planned Suspensions in Multi-Agent Patrol Problems
- Artificial Intelligence
- Comparing Beta-VAE to WGAN-GP for Time Series Augmentation to Improve Classification Performance
- Safe Policy Improvement Approaches and Their Limitations
- Integrative System of Deep Classifiers Certification: Case of Convolutional Attacks
- Co-operative Multi-agent Twin Delayed DDPG for Robust Phase Duration Optimization of Large Road Networks
- Generating the Gopher's Grounds: Form, Function, Order, and Alignment
- Domain Dependent Parameter Setting in SAT Solver using Machine Learning Techniques
- More Sustainable Text Classification via Uncertainty Sampling and a Human-in-the-Loop.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-22953-4
- 9783031229534
- Access Restriction:
- Restricted for use by site license.
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