From individual based modeling to autonomy oriented computation

Xiaolong Jin, Jiming Liu

Research output: Chapter in Book/Report/Conference proceedingChapter

17 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 publication Potential, Risks, and Solutions
EditorsM Nickles, M Rovatsos, G Weiss
Place of PublicationBerlin, Germany
PublisherSpringer
Pages151-169
Number of pages19
ISBN (Print)9783540224778
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science
Volume2969

Cite this

Jin, X., & Liu, J. (2004). From individual based modeling to autonomy oriented computation. In M. Nickles, M. Rovatsos, & G. Weiss (Eds.), Agents and Computational Autonomy: Potential, Risks, and Solutions (pp. 151-169). (Lecture Notes in Computer Science; Vol. 2969). Springer.