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Biologically Inspired Cooperative Computing

Overview of attention for book
Cover of 'Biologically Inspired Cooperative Computing'

Table of Contents

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    Book Overview
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    Chapter 1 An Immune System Paradigm for the Assurance of Dependability of Collaborative Self-organizing Systems
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    Chapter 2 99% (Biological) Inspiration ...
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    Chapter 3 Biologically-Inspired Design: Getting It Wrong and Getting It Right
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    Chapter 4 On Building Maps of Web Pages with a Cellular Automaton
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    Chapter 5 Completing and Adapting Models of Biological Processes
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    Chapter 6 The Utility of Pollination for Autonomic Computing
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    Chapter 7 Towards Distributed Reasoning for Behavioral Optimization
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    Chapter 8 Ant Based Heuristic for OS Service Distribution on Ad Hoc Networks
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    Chapter 9 An Artificial Hormone System for Self-organization of Networked Nodes
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    Chapter 10 A Biologically Motivated Computational Architecture Inspired in the Human Immunological System to Quantify Abnormal Behaviors to Detect Presence of Intruders
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    Chapter 11 Error Detection Techniques Applicable in an Architecture Framework and Design Methodology for Autonomic SoCs
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    Chapter 12 A Reconfigurable Ethernet Switch for Self-Optimizing Communication Systems
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    Chapter 13 Learning Useful Communication Structures for Groups of Agents
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    Chapter 14 Maintaining Communication Between an Explorer and a Base Station
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    Chapter 15 Active Patterns for Self-Optimization
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    Chapter 16 Acute Stress Response for Self-optimizing Mechatronic Systems
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    Chapter 17 The Self Distributing Virtual Machine (SDVM): Making Computer Clusters Adaptive
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    Chapter 18 Teleworkbench: An Analysis Tool for Multi-Robotic Experiments
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    Chapter 19 Trading off Impact and Mutation of Knowledge by Cooperatively Learning Robots
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    Chapter 20 Emergent Distribution of Operating System Services in Wireless Ad Hoc Networks
Overall attention for this book and its chapters
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Mentioned by

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1 patent

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6 Mendeley
Summary Patents
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Title
Biologically Inspired Cooperative Computing
Published by
Springer US, November 2006
DOI 10.1007/978-0-387-34733-2
ISBNs
978-0-387-34632-8, 978-0-387-34733-2
Editors

Pan, Yi, Rammig, Franz J., Schmeck, Hartmut, Solar, Mauricio

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Student > Ph. D. Student 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 2 33%
Engineering 1 17%
Unknown 3 50%

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