Swarm Intelligence: From Natural to Artificial Systems

By Rauff, James V. | Mathematics and Computer Education, Spring 2003 | Go to article overview

Swarm Intelligence: From Natural to Artificial Systems


Rauff, James V., Mathematics and Computer Education


SWARM INTELLIGENCE: FROM NATURAL TO ARTIFICIAL SYSTEMS by Eric Bonabeau, Marco Dorigo, and Guy Theraulaz Oxford University Press, 1999, 307 pp.

Swarm Intelligence: From Natural to Artificial Systems is a fascinating survey of a new approach to artificial intelligence inspired by and modeled on the behavior of social insects. This technique uses "autonomy, emergence, and distributed functioning" in place of "control, preprogramming, and centralization" (p.xi). The idea here is that complex structures emerge from the simple behaviors of a large number of interacting individuals. Swarm intelligence refers to the intelligent behavior emerging from these swarms of individuals. Each chapter in Swarm Intelligence shows how a biological example taken from social insect behavior can be used as a "metaphor to design an algorithm, a multiagent system, or a group of robots" (p. xii).

Chapter 1 is an introduction to swarm intelligence. After a quick look at the classic biological examples of emerging structure (army ant raids, honey bee wax combs, termite nests, etc.), the authors highlight the concepts of self-organization and stimergy. Which refers to the indirect interaction of individuals that occurs when one individual modifies the environment, and another subsequently responds to that modification. A short discussion of swarm-based robotics finishes the introduction and sets the stage for the remainder of the book.

Chapter 2 describes the collective foraging behavior of ants, and the algorithms inspired by this behavior. The application of ant-based algorithms to the traveling salesperson problem and the quadratic assignment problem is given in detail. The detailed algorithms are given in a transparent pseudo-code that can be easily implemented in any high-level programming language (e.g., Java, C+ + , Visual Basic). Ant-based algorithms for job scheduling, graph coloring, and vehicle routing are also presented.

The third chapter of Swarm Intelligence explores a class of algorithms inspired by division of labor and task allocation among social insects. This chapter has fewer applications than the previous chapter, and spends a considerable amount of space investigating theoretical issues. The only detailed application is a "toy" application of task allocation in a multiagent system. Unlike Chapter 2, which will be accessible and appealing to programmers, Chapter 3 will be daunting for all but the most sophisticated mathematics student. …

The rest of this article is only available to active members of Questia

Already a member? Log in now.

Notes for this article

Add a new note
If you are trying to select text to create highlights or citations, remember that you must now click or tap on the first word, and then click or tap on the last word.
One moment ...
Default project is now your active project.
Project items

Items saved from this article

This article has been saved
Highlights (0)
Some of your highlights are legacy items.

Highlights saved before July 30, 2012 will not be displayed on their respective source pages.

You can easily re-create the highlights by opening the book page or article, selecting the text, and clicking “Highlight.”

Citations (0)
Some of your citations are legacy items.

Any citation created before July 30, 2012 will labeled as a “Cited page.” New citations will be saved as cited passages, pages or articles.

We also added the ability to view new citations from your projects or the book or article where you created them.

Notes (0)
Bookmarks (0)

You have no saved items from this article

Project items include:
  • Saved book/article
  • Highlights
  • Quotes/citations
  • Notes
  • Bookmarks
Notes
Cite this article

Cited article

Style
Citations are available only to our active members.
Buy instant access to cite pages or passages in MLA, APA and Chicago citation styles.

(Einhorn, 1992, p. 25)

(Einhorn 25)

1. Lois J. Einhorn, Abraham Lincoln, the Orator: Penetrating the Lincoln Legend (Westport, CT: Greenwood Press, 1992), 25, http://www.questia.com/read/27419298.

Cited article

Swarm Intelligence: From Natural to Artificial Systems
Settings

Settings

Typeface
Text size Smaller Larger Reset View mode
Search within

Search within this article

Look up

Look up a word

  • Dictionary
  • Thesaurus
Please submit a word or phrase above.
Print this page

Print this page

Why can't I print more than one page at a time?

Help
Full screen

matching results for page

    Questia reader help

    How to highlight and cite specific passages

    1. Click or tap the first word you want to select.
    2. Click or tap the last word you want to select, and you’ll see everything in between get selected.
    3. You’ll then get a menu of options like creating a highlight or a citation from that passage of text.

    OK, got it!

    Cited passage

    Style
    Citations are available only to our active members.
    Buy instant access to cite pages or passages in MLA, APA and Chicago citation styles.

    "Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences." (Einhorn, 1992, p. 25).

    "Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences." (Einhorn 25)

    "Portraying himself as an honest, ordinary person helped Lincoln identify with his audiences."1

    1. Lois J. Einhorn, Abraham Lincoln, the Orator: Penetrating the Lincoln Legend (Westport, CT: Greenwood Press, 1992), 25, http://www.questia.com/read/27419298.

    Cited passage

    Thanks for trying Questia!

    Please continue trying out our research tools, but please note, full functionality is available only to our active members.

    Your work will be lost once you leave this Web page.

    Buy instant access to save your work.

    Already a member? Log in now.

    Author Advanced search

    Oops!

    An unknown error has occurred. Please click the button below to reload the page. If the problem persists, please try again in a little while.