Treffer: Modelling and Simulation for Autonomous Systems: Second International Workshop, MESAS 2015, Prague, Czech Republic, April 29-30, 2015, Revised Selected Papers
Title:
Modelling and Simulation for Autonomous Systems: Second International Workshop, MESAS 2015, Prague, Czech Republic, April 29-30, 2015, Revised Selected Papers
Contributors:
Hodicky, Jan, editor.
Publication Year:
2015
Physical Description:
XII, 241 p. 104 illus. online resource.
Series:
Lecture Notes in Computer Science
Lecture Notes in Computer Science
Lecture Notes in Computer Science
Subject Terms:
Artificial Intelligence (incl. Robotics), Information Systems Applications (incl. Internet), Computer science., Computer software., Artificial intelligence., Computer simulation., Computer vision., Simulation and Modeling., Computer Imaging, Vision, Pattern Recognition and Graphics., Computation by Abstract Devices., Algorithm Analysis and Problem Complexity.
Contents Note:
State of the art and future of AS -- MS experimental frameworks for AS -- Methods and algorithms for AS.
Original Identifier:
(Springer)9783319223834
Document Type:
Buch
Book
Language:
English
ISBN:
978-3-319-22383-4
978-3-319-22382-7
3-319-22383-6
3-319-22382-8
978-3-319-22382-7
3-319-22383-6
3-319-22382-8
Rights:
This record is part of the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others, OCLC Online Computer Library Center, Inc. and the Library of Congress.
Accession Number:
edshlc.014475482.7
Database:
Harvard Library Bibliographic Dataset
Weitere Informationen
This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Modelling and Simulation for Autonomous Systems, MESAS 2015, held in Prague, Czech Republic, in April 2015. The 18 revised full papers included in the volume were carefully reviewed and selected from 33 submissions. They are organized in the following topical sections: state of the art and future of AS; MS experimental frameworks for AS; methods and algorithms for AS.