| Vorliegende Sprache |
eng |
| ISBN |
978-3-319-65339-6 |
| Name |
Oliveira, Eugénio ¬[Hrsg.]¬ |
| Gama, Joao ¬[Hrsg.]¬ |
| Name ANZEIGE DER KETTE |
Gama, Joao ¬[Hrsg.]¬ |
| Name |
Vale, Zita ¬[Hrsg.]¬ |
| Lopes Cardoso, Henrique ¬[Hrsg.]¬ |
| T I T E L |
Progress in Artificial Intelligence |
| Zusatz zum Titel |
18th EPIA Conference on Artificial Intelligence, EPIA 2017, Porto, Portugal, September 5-8, 2017, Proceedings |
| Verlagsort |
Cham |
| Verlag |
Springer |
| Erscheinungsjahr |
2017 |
| 2017 |
| Umfang |
Online-Ressource (XXXI, 895 p. 253 illus, online resource) |
| Reihe |
Lecture Notes in Computer Science ; 10423 |
| Lecture notes in computer science |
| Band |
10423 |
| Titelhinweis |
Druckausg.ISBN: 978-3-319-65339-6 |
| ISBN |
ISBN 978-3-319-65340-2 |
| Klassifikation |
TJFM1 |
| UYQ |
| COM004000 |
| 006.3 |
| Q334-342 |
| TJ210.2-211.495 |
| Kurzbeschreibung |
This book constitutes the refereed proceedings of the 18th EPIA Conference on Artificial Intelligence, EPIA 2017, held in Porto, Portugal, in September 2017. The 69 revised full papers and 2 short papers presented were carefully reviewed and selected from a total of 177 submissions. The papers are organized in 16 tracks devoted to the following topics: agent-based modelling for criminological research (ABM4Crime), artificial intelligence in cyber-physical and distributed embedded systems (AICPDES), artificial intelligence in games (AIG), artificial intelligence in medicine (AIM), artificial intelligence in power and energy systems (AIPES), artificial intelligence in transportation systems (AITS), artificial life and evolutionary algorithms (ALEA), ambient intelligence and affective environments (AmIA), business applications of artificial intelligence (BAAI), intelligent robotics (IROBOT), knowledge discovery and business intelligence (KDBI), knowledge representation and reasoning (KRR), multi-agent systems: theory and applications (MASTA), software engineering for autonomous and intelligent systems (SE4AIS), social simulation and modelling (SSM), and text mining and applications (TeMA) |
| SWB-Titel-Idn |
492997861 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-3-319-65340-2 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Cover |
