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Engineering Self-Organising Systems

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Cover of 'Engineering Self-Organising Systems'

Table of Contents

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    Book Overview
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    Chapter 1 T-Man: Gossip-Based Overlay Topology Management
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    Chapter 2 Basic Approach to Emergent Programming: Feasibility Study for Engineering Adaptive Systems Using Self-organizing Instruction-Agents
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    Chapter 3 ETTO: Emergent Timetabling by Cooperative Self-organization
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    Chapter 4 Self-adaptation and Dynamic Environment Experiments with Evolvable Virtual Machines
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    Chapter 5 Choose Your Tribe! – Evolution at the Next Level in a Peer-to-Peer Network
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    Chapter 6 Exchange Values and Self-regulation of Exchanges in Multi-agent Systems: The Provisory, Centralized Model
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    Chapter 7 A New Protocol to Share Critical Resources by Self-organized Coordination
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    Chapter 8 Information-Driven Phase Changes in Multi-agent Coordination
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    Chapter 9 Self-organising Applications Using Lightweight Agents
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    Chapter 10 Solving Dynamic Distributed Constraint Satisfaction Problems with a Modified Weak-Commitment Search Algorithm
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    Chapter 11 Development of Self-organising Emergent Applications with Simulation-Based Numerical Analysis
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    Chapter 12 On the Role of Simulations in Engineering Self-organising MAS: The Case of an Intrusion Detection System in TuCSoN
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    Chapter 13 Mesoscopic Modeling of Emergent Behavior – A Self-organizing Deliberative Minority Game
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    Chapter 14 Pheromone Model: Application to Traffic Congestion Prediction
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    Chapter 15 How Bee-Like Agents Support Cultural Heritage
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    Chapter 16 Sift and Sort: Climbing the Semantic Pyramid
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    Chapter 17 Agent-Based Control of Spatially Distributed Chemical Reactor Networks
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    Chapter 18 A Study of System Nervousness in Multi-agent Manufacturing Control System
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Citations

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Readers on

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13 Mendeley
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Title
Engineering Self-Organising Systems
Published by
Springer, Berlin, Heidelberg, January 2005
DOI 10.1007/11734697
ISBNs
978-3-54-033342-5, 978-3-54-033352-4
Authors

Brueckner, Sven A

Editors

Sven A. Brueckner, Giovanna Di Marzo Serugendo, David Hales, Franco Zambonelli

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 54%
Researcher 2 15%
Student > Master 2 15%
Student > Doctoral Student 1 8%
Other 1 8%
Other 0 0%
Readers by discipline Count As %
Computer Science 13 100%

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