Intelligent Agents in Data-intensive Computing

Buch | Hardcover
XVIII, 216 Seiten
2015 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-23741-1 (ISBN)

Lese- und Medienproben

Intelligent Agents in Data-intensive Computing -
106,99 inkl. MwSt

This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a review of recent cross-disciplinary approaches in cloud environments and multi-agent systems, and important formulations of data intensive problems in distributed computational environments together with the presentation of new agent-based tools to handle those problems and Big Data in general.

This volume can serve as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary work in the areas of data intensive computing and Big Data systems using emergent large-scale distributed computing paradigms. It will also allow newcomers to grasp key concepts and potential solutions on advanced topics of theory, models, technologies, system architectures and implementation of applications in Multi-Agent systems and data intensive computing.

 

 

Bio-Inspired ICT for Big Data Management in Healthcare.- Control AspectsiIn Multiagent Systems.- A Different Perspective of Agent-Based Techniques: Markovian Agents.- Autonomous, Adaptive, And Self-Organized Multiagent Systems for the Optimization of Decentralized Industrial Processes.-  Formal Specification Language and Agent Applications.- Large-Scale Simulations with FLAME.- Cloud Computing and Multiagent Systems, A Promising Relationship.- Privacy Risks in Cloud Computing.- Adaptive Resource Allocation in Cloud Computing Based on Agreement Protocols.

Erscheint lt. Verlag 30.9.2015
Reihe/Serie Studies in Big Data
Zusatzinfo XVIII, 216 p.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Agent-based Modelling and Simulation • artificial intelligence (incl. robotics) • Big Data • cognitive computing • Computational Intelligence • data mining and knowledge discovery • Distributed data mining • Engineering • High Performance Modelling and Simulation • Massive Data Processing • multi-agent system • Parallel Computing
ISBN-10 3-319-23741-1 / 3319237411
ISBN-13 978-3-319-23741-1 / 9783319237411
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
eine Einführung mit Python, Scikit-Learn und TensorFlow

von Oliver Zeigermann; Chi Nhan Nguyen

Buch | Softcover (2024)
O'Reilly (Verlag)
19,90
Datenanalyse für Künstliche Intelligenz

von Jürgen Cleve; Uwe Lämmel

Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
74,95