Comprehensive guide on learning automata, introducing two variants to accelerate convergence and computational update speed Learning Automata and Their Applications to Intelligent Systems provides a comprehensive guide on learning automata from the perspective of principles, algorithms, improvement
Complex Intelligent Systems and Their Applications
β Scribed by Thomas Moser, Richard Mordinyi (auth.), Fatos Xhafa, Leonard Barolli, Petraq J. Papajorgji (eds.)
- Publisher
- Springer-Verlag New York
- Year
- 2010
- Tongue
- English
- Leaves
- 286
- Series
- Springer Optimization and Its Applications 41
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
"Complex Intelligent Systems and Their Applications" presents the most up-to-date advances in complex, software intensive and intelligent systems. Each self-contained chapter is the contribution of distinguished experts in areas of research relevant to the study of complex, intelligent and software intensive systems. These contributions focus on the resolution of complex problems from areas of networking, optimization and artificial intelligence.
This book is divided into three parts focusing on complex intelligent network systems, efficient resource management in complex systems, and artificial data mining systems. Through the presentation of these diverse areas of application, the volume provides insights into the multidisciplinary nature of complex problems. Throughout the entire book, special emphasis is placed on optimization and efficiency in resource management, network interaction, and intelligent system design.
Key Features of "Complex Intelligent Systems and Their Applications" include:
- Considers the multi-disciplinary nature of complex problems in intelligent systems and a range of state-of-the-art techniques used to resolve these problems.
- Graduate students as well as researchers will find this a useful guide to the most up-to-date techniques available to resolve complex problems in networking, optimization, and artificial intelligence.
- Real life examples presented throughout the book extend the textβs suitability to practitioners.
This book presents the most recent interdisciplinary results in this area of research and can serve as a valuable tool for researchers interested in defining and resolving the types of complex problems that arise in networking, optimization, and artificial intelligence.
β¦ Table of Contents
Front Matter....Pages I-XIII
Efficient Integration of Complex Information Systems in the ATM Domain with Explicit Expert Knowledge Models....Pages 1-19
An Ontology-Based Approach for Supporting Business-IT Alignment....Pages 21-42
EPCIS-Based Supply Chain Event Management....Pages 43-68
Cost-Benefit Analysis to Hedge with Third-Party Producers in Demand-Driven Production....Pages 69-81
A Security Assurance Model to Holistically Assess the Information Security Posture....Pages 83-108
Risk-Aware Business Process ManagementβEstablishing the Link Between Business and Security....Pages 109-135
Self-Optimised Tree Overlays Using Proximity-Driven Self-Organised Agents....Pages 137-161
Filtering Order Adaptation Based on Attractor Selection for Data Broadcasting System....Pages 163-186
StreamAPAS: Query Language and Data Model....Pages 187-205
Agent-Supported Programming of Multicore Computing Systems....Pages 207-224
Multimodal and Agent-Based HumanβComputer Interaction in Cultural Heritage Applications: an Overview....Pages 225-245
Reinforced Operators in Fuzzy Clustering Systems....Pages 247-266
Back Matter....Pages 267-271
β¦ Subjects
Operations Research, Mathematical Programming; Computer Systems Organization and Communication Networks; Artificial Intelligence (incl. Robotics); System Performance and Evaluation; Math Applications in Computer Science
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