Physicomimetics: Physics-Based Swarm Intelligence

Author:   William M. Spears ,  Diana F. Spears
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2012
ISBN:  

9783642228032


Pages:   646
Publication Date:   05 January 2012
Format:   Hardback
Availability:   Awaiting stock   Availability explained
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Physicomimetics: Physics-Based Swarm Intelligence


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Full Product Details

Author:   William M. Spears ,  Diana F. Spears
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2012
Dimensions:   Width: 15.50cm , Height: 4.10cm , Length: 23.50cm
Weight:   1.172kg
ISBN:  

9783642228032


ISBN 10:   3642228038
Pages:   646
Publication Date:   05 January 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

Part I - Introduction Chap. 1 - Nature Is Lazy Chap. 2 - NetLogo and Physics Chap. 3 - NetLogo and Physicomimetics Chap. 4 - Pushing the Envelope Part II - Robotic Swarm Applications Chap. 5 - Local Oriented Potential Fields: Self-deployment and Coordination of an Assembling Swarm of Robots Chap. 6 - Physicomimetics for Distributed Control of Mobile Aquatic Sensor Networks in Bioluminescent Environments Chap. 7 - Gas-Mimetic Swarms for Surveillance and Obstacle Avoidance Chap. 8 - A Multirobot Chemical Source Localization Strategy Based on Fluid Physics: Theoretical Principles Chap. 9 - A Multirrobot Chemical Source Localization Strategy Based on Fluid Physics: Experimental Results Part III - Physicomimetics on Hardware Robots Chap. 10 - What Is a Maxelbot? Chap. 11 - Uniform Coverage Chap. 12 - Chain Formations Chap. 13 - Physicomimetic Motion Control of Physically Constrained Agents Part IV - Prediction, Adaptation, and Swarm Engineering Chap. 14 - Adaptive Learning by Robot Swarms in Unfamiliar Environments Chap. 15 - A Statistical Framework for Estimating the Success Rate of Liquid-Mimetic Swarms Chap. 16 - Physicomimetic Swarm Design Considerations: Modularity, Scalability, Heterogeneity, and the Prediction Versus Control Dilemma Chap. 17 - Using Swarm Engineering to Design Physicomimetic Swarms Part V - Function Optimization Chap. 18 - Artificial Physics Optimization Algorithm for Global Optimization Chap. 19 - Artificial Physics for Noisy Nonstationary Environments App. A - Anomalous Behavior of the Random Number Generator Index References

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Author Information

Dr. William Spears is the CEO of Swarmotics LLC, a company that provides consulting expertise in distributed agents, sensing networks, artificial intelligence, machine learning, optimization, and swarm robotics; he was formerly a professor in the Dept. of Computer Science at the University of Wyoming, Laramie. Dr. Diana Spears was a professor in the Dept. of Computer Science at the University of Wyoming, Laramie, and is currently a director of Swarmotics, LLC.

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