The Horizons of Evolutionary Robotics (Hardcover)

Patricia A. Vargas, Ezequiel A. Di Paolo, Inman Harvey, Phil Husbands

The Horizons of Evolutionary Robotics (Hardcover)
  • 出版商: MIT
  • 出版日期: 2014-03-28
  • 定價: $1,650
  • 售價: 6.0 折 $990
  • 語言: 英文
  • 頁數: 320
  • 裝訂: Hardcover
  • ISBN: 0262026767
  • ISBN-13: 9780262026765
  • 相關分類: 機器人製作 Robots

    • 立即出貨(限量) (庫存=2)

商品描述

Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both real and simulated autonomous robots. The Horizons of Evolutionary Robotics offers an authoritative overview of this rapidly developing field, presenting state-of-the-art research by leading scholars. The result is a lively, expansive survey that will be of interest to computer scientists, robotics engineers, neuroscientists, and philosophers. The contributors discuss incorporating principles from neuroscience into ER; dynamical analysis of evolved agents; constructing appropriate evolutionary pathways; spatial cognition; the coevolution of robot brains and bodies; group behavior; the evolution of communication; translating evolved behavior into design principles; the development of an evolutionary robotics--based methodology for shedding light on neural processes; an incremental approach to complex tasks; and the notion of "mindless intelligence" -- complex processes from immune systems to social networks -- as a way forward for artificial intelligence.

ContributorsChristos Ampatzis, Randall D. Beer, Josh Bongard, Joachim de Greeff, Ezequiel A. Di Paolo, Marco Dorigo, Dario Floreano, Inman Harvey, Sabine Hauert, Phil Husbands, Laurent Keller, Michail Maniadakis, Orazio Miglino, Sara Mitri, Renan Moioli, Stefano Nolfi, Michael O'Shea, Rainer W. Paine, Andy Philippides, Jordan B. Pollack, Michela Ponticorvo, Yoon-Sik Shim, Jun Tani, Vito Trianni, Elio Tuci, Patricia A. Vargas, Eric D. Vaughan

商品描述(中文翻譯)

進化機器人學（ER）旨在將進化計算技術應用於真實和模擬的自主機器人設計。《進化機器人學的視野》提供了這個快速發展領域的權威概述，介紹了領先學者的最新研究成果。結果是一個生動而廣泛的調查，將對計算機科學家、機器人工程師、神經科學家和哲學家感興趣。貢獻者討論了將神經科學原理納入ER的方法；進化代理的動態分析；構建適當的進化路徑；空間認知；機器人大腦和身體的共同進化；群體行為；通信的演化；將進化行為轉化為設計原則；基於進化機器人學的方法論，以揭示神經過程；復雜任務的增量方法；以及“無心智能”的概念——從免疫系統到社交網絡的復雜過程——作為人工智能的前進方向。

貢獻者：Christos Ampatzis、Randall D. Beer、Josh Bongard、Joachim de Greeff、Ezequiel A. Di Paolo、Marco Dorigo、Dario Floreano、Inman Harvey、Sabine Hauert、Phil Husbands、Laurent Keller、Michail Maniadakis、Orazio Miglino、Sara Mitri、Renan Moioli、Stefano Nolfi、Michael O'Shea、Rainer W. Paine、Andy Philippides、Jordan B. Pollack、Michela Ponticorvo、Yoon-Sik Shim、Jun Tani、Vito Trianni、Elio Tuci、Patricia A. Vargas、Eric D. Vaughan

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