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BioInspired Artificial Intelligence: Theories, Methods and Technologies, Floreano & Mattiussi 22.0%OFF

BioInspired Artificial Intelligence: Theories, Methods and Technologies, Floreano & Mattiussi

by Mattiussi, Claudio and Floreano

  • ISBN

    :  

    9788120339354

  • Publisher

    :  

    Phi Learning

  • Subject

    :  

    Computer Science

  • Binding

    :  

    Paperback

  • Pages

    :  

    676

  • Year

    :  

    2010

595.0

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  • Description

    This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researche Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems, immune systems; behavioral systems — including several approaches to robotics, such as behavior-based, biomimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive coevolving systems. Chapters end with a concluding overview and suggested reading.“Bio-Inspired Artificial Intelligence brings together all the things I’ve been interested in for the last twenty-five years, and surprises me by providing a coherent intellectual framework for them all. This book is a treasure trove of history from Darwin to Gibson and Walter, an unambiguous tutorial on how to build a plethora of computational models, and a healthy exploration of the philosophies that have driven wide-ranging research agendas Table of Contents ContentsPrefaceAcknowledgments1. Evolutionary Systems2. Cellular Systems3. Neural Systems4. Developmental Systems5. Immune Systems6. Behavioral Systems7. Collective SystemsConclusionReferencesIndex

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