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Swarm Intelligence : From Social Bacteria to Humans.

By: Material type: TextTextPublisher: Milton : Taylor & Francis Group, 2020Copyright date: ©2021Edition: 1st edDescription: 1 online resource (191 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780429647604
Subject(s): Genre/Form: Additional physical formats: Print version:: Swarm IntelligenceDDC classification:
  • 6.3823999999999996
LOC classification:
  • Q337.3 .S918 2021
Online resources:
Contents:
Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1. Introduction -- 2. Swarm Intelligence for Morphogenetic Engineering -- 3. Ant Cemeteries as a Cluster or as an Aggregate Pile -- 4. Robust Swarm of Soldier Crabs, Mictyris guinotae, Based on Mutual Anticipation -- 5. Swarm Intelligence in Cybersecurity -- 6. Emergence of Complex Phenomena in a Simple Reversible Cellular Space -- 7. Rough Sets over Social Networks -- 8. Logical Functions as an Idealization of Swarm Behavior -- 9. On the Motion of Agents with Directional Antennae -- 10. Induction and Physical Theory Formation As Well As Universal Computation by Machine Learning -- Index -- About the Editor.
Summary: The book analyzes new methodologies involved in studying swarm intelligence. It brings together computer scientists and cognitive scientists dealing with swarm patterns from social bacteria to human beings. Topics include swarm computing, soldier crabs computing, social insects computing, ad hoc and sensor wireless network, bio-molecular computing.
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Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1. Introduction -- 2. Swarm Intelligence for Morphogenetic Engineering -- 3. Ant Cemeteries as a Cluster or as an Aggregate Pile -- 4. Robust Swarm of Soldier Crabs, Mictyris guinotae, Based on Mutual Anticipation -- 5. Swarm Intelligence in Cybersecurity -- 6. Emergence of Complex Phenomena in a Simple Reversible Cellular Space -- 7. Rough Sets over Social Networks -- 8. Logical Functions as an Idealization of Swarm Behavior -- 9. On the Motion of Agents with Directional Antennae -- 10. Induction and Physical Theory Formation As Well As Universal Computation by Machine Learning -- Index -- About the Editor.

The book analyzes new methodologies involved in studying swarm intelligence. It brings together computer scientists and cognitive scientists dealing with swarm patterns from social bacteria to human beings. Topics include swarm computing, soldier crabs computing, social insects computing, ad hoc and sensor wireless network, bio-molecular computing.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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