From Individual Based Modeling to Autonomy Oriented Computation

Xiaolong Jin*, Jiming LIU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-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 publicationAgents and Computational Autonomy
Subtitle of host publicationPotential, Risks, and Solutions
EditorsMatthias Nickles, Michael Rovatsos, Gerhard Weiß
PublisherSpringer Berlin Heidelberg
Pages151-169
Number of pages19
Edition1st
ISBN (Electronic)9783540259282
ISBN (Print)9783540224778
DOIs
Publication statusPublished - 2004
Event1st International Workshop on Computational Autonomy – Potential, Risks, Solutions (AUTONOMY 2003) - Melbourne, Australia
Duration: 14 Jul 2003 → …

Publication series

NameLecture Notes in Computer Science
Volume2969
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameLecture Notes in Artificial Intelligence
Volume2969

Conference

Conference1st International Workshop on Computational Autonomy – Potential, Risks, Solutions (AUTONOMY 2003)
Country/TerritoryAustralia
CityMelbourne
Period14/07/03 → …

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

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