From individual based modeling to autonomy oriented computation

Xiaolong Jin*, Jiming LIU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingChapterpeer-review

18 Citations (Scopus)

Abstract

In this chapter, we generalize autonomy oriented computation. We characterize the application-independent features of two main components of AOC systems, namely, entities and environment. We identify the self-organizating process of entities as the core of AOC systems. We also address the autonomy deployed in AOC systems and compare them with those in other work. Moreover, we use three typical examples, a natural system, a man-made system, and a computational system, to show how AOC is embodied and how AOC works in different cases.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMatthias Nickles, Michael Rovatsos, Gerhard Weiss
PublisherSpringer Verlag
Pages151-169
Number of pages19
ISBN (Print)3540224777, 9783540224778
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2969
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

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