My Account Log in

1 option

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.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

View online
Format:
Book
Contributor:
van den Herik, Jaap, editor.
Steels, Luc, editor.
Rocha, Ana Paula, editor.
Series:
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 (236 pages)
Edition:
1st ed. 2022.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
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.
Notes:
Includes index.
Other Format:
Print version: Rocha, Ana Paula Agents and Artificial Intelligence
ISBN:
9783031229534
3031229533

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account