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Massively Multi-Agent Technology

Overview of attention for book
Cover of 'Massively Multi-Agent Technology'

Table of Contents

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    Book Overview
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    Chapter 1 A Platform for Massive Agent-Based Simulation and Its Evaluation
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    Chapter 2 Distributed Coordination of Massively Multi-Agent Systems
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    Chapter 3 Community-Based Load Balancing for Massively Multi-Agent Systems
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    Chapter 4 A Study of Coordinated Dynamic Market-Based Task Assignment in Massively Multi-Agent Systems
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    Chapter 5 Dynamic Pricing Algorithms for Task Allocation in Multi-agent Swarms
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    Chapter 6 Evolve Individual Agent Strategies to Global Social Law by Hierarchical Immediate Diffusion
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    Chapter 7 Team Formation Strategies in a Dynamic Large-Scale Environment
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    Chapter 8 Using Swarm-GAP for Distributed Task Allocation in Complex Scenarios
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    Chapter 9 Mousetrap 2.0
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    Chapter 10 Application of a Massively Multi-Agent System to Internet Routing Management
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    Chapter 11 An Agent-Based Approach for Range Image Segmentation
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    Chapter 12 Coordination in Disaster Management and Response: A Unified Approach
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    Chapter 13 The Scalability of an Environment for Large-Scale Sensor-Networks
Attention for Chapter 13: The Scalability of an Environment for Large-Scale Sensor-Networks
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Citations

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Chapter title
The Scalability of an Environment for Large-Scale Sensor-Networks
Chapter number 13
Book title
Massively Multi-Agent Technology
Published by
Springer, Berlin, Heidelberg, May 2007
DOI 10.1007/978-3-540-85449-4_13
Book ISBNs
978-3-54-085448-7, 978-3-54-085449-4
Authors

Timothy Middelkoop, Abhijit Deshmukh, Middelkoop, Timothy, Deshmukh, Abhijit

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 75%
Other 1 25%
Readers by discipline Count As %
Computer Science 4 100%

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