Swarm Intelligence (Hardcover)

Russell C. Eberhart, Yuhui Shi, James Kennedy

  • 出版商: Morgan Kaufmann
  • 出版日期: 2001-03-26
  • 售價: $4,125
  • 貴賓價: 9.5$3,919
  • 語言: 英文
  • 頁數: 512
  • 裝訂: Hardcover
  • ISBN: 1558605959
  • ISBN-13: 9781558605954
  • 相關分類: ARM
  • 立即出貨 (庫存=1)

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商品描述

Traditional methods for creating intelligent computational systems have
privileged private "internal" cognitive and computational processes. In
contrast, Swarm Intelligence argues that human
intelligence derives from the interactions of individuals in a social world
and further, that this model of intelligence can be effectively applied to
artificially intelligent systems. The authors first present the foundations of
this new approach through an extensive review of the critical literature in
social psychology, cognitive science, and evolutionary computation. They
then show in detail how these theories and models apply to a new
computational intelligence methodology—particle swarms—which focuses
on adaptation as the key behavior of intelligent systems. Drilling down
still further, the authors describe the practical benefits of applying particle
swarm optimization to a range of engineering problems. Developed by
the authors, this algorithm is an extension of cellular automata and
provides a powerful optimization, learning, and problem solving method.


This important book presents valuable new insights by exploring the
boundaries shared by cognitive science, social psychology, artificial life,
artificial intelligence, and evolutionary computation and by applying these
insights to the solving of difficult engineering problems. Researchers and
graduate students in any of these disciplines will find the material
intriguing, provocative, and revealing as will the curious and savvy
computing professional.

Contents

Introduction

Part 1: Foundations
Life and Intelligence
Optimization by Trial and Error
On our Nonexistence as Entities
Evolutionary Computation Theory and Paradigms
Humans - Actual, Imagined and Implied
Thinking is Social

Part 2: Particle Optimization and Collective Intelligence
The Binary Particle Swarm
Variations and Comparisons;
Applications
Implications and Speculations
Conclusions

商品描述(中文翻譯)

傳統的創建智能計算系統的方法偏向於私有的「內部」認知和計算過程。相比之下,《群體智能》主張人類的智能來自於社會世界中個體之間的互動,並且這種智能模型可以有效應用於人工智能系統中。作者首先通過對社會心理學、認知科學和進化計算的重要文獻進行廣泛回顧,介紹了這種新方法的基礎。然後,他們詳細說明了這些理論和模型如何應用於一種新的計算智能方法——粒子群算法,該方法將適應作為智能系統的關鍵行為。更進一步,作者描述了將粒子群優化應用於各種工程問題的實際好處。這個算法是作者開發的,它是元胞自動機的擴展,提供了一種強大的優化、學習和問題解決方法。

這本重要的書籍通過探索認知科學、社會心理學、人工生命、人工智能和進化計算之間的共同界限,並將這些見解應用於解決困難的工程問題,提供了有價值的新洞察力。研究人員和這些學科的研究生將發現這些材料引人入勝、引發思考並揭示出新的視角,同樣對於好奇和精明的計算專業人士也是如此。

目錄:
介紹
第一部分:基礎
生命和智能
通過試錯進行優化
關於我們作為實體的不存在
進化計算理論和範式
人類-真實的、想像的和暗示的
思考是社會的
第二部分:粒子優化和集體智能
二進制粒子群
變體和比較
應用
影響和推測
結論