Fr. 69.00

Modelling and Simulation for Autonomous Systems - 6th International Conference, MESAS 2019, Palermo, Italy, October 29-31, 2019, Revised Selected Papers

English · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

Read more


This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Modelling and Simulation for Autonomous Systems, MESAS 2019, held in Palermo, Italy, in October 2019.
The 22 full papers and 13 short papers included in the volume were carefully reviewed and selected from 53 submissions. They are organized in the following topical sections: M&S of intelligent systems - AI, R&D and application; future challenges of advanced M&S technology; AxS in context of future warfare and security environment (concepts, applications, training, interoperability, etc.).

List of contents

M&S of Intelligent Systems - AI, R&D and Application.- Future Challenges of Advanced M&S Technology.- AxS in Context of Future Warfare and Security Environment (Concepts, Applications, Training, Interoperability, etc.).

Product details

Assisted by Adrian Fagiolini (Editor), Adriano Fagiolini (Editor), Jan Mazal (Editor), Petr Vasik (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.06.2020
 
EAN 9783030438890
ISBN 978-3-0-3043889-0
No. of pages 440
Dimensions 155 mm x 25 mm x 234 mm
Weight 686 g
Illustrations XVI, 440 p. 239 illus., 199 illus. in color.
Series Lecture Notes in Computer Science
Information Systems and Applications, incl. Internet/Web, and HCI
Subject Natural sciences, medicine, IT, technology > IT, data processing > Application software

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.