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.
|Title of host publication||Agents and Computational Autonomy|
|Subtitle of host publication||Potential, Risks, and Solutions|
|Editors||M Nickles, M Rovatsos, G Weiss|
|Place of Publication||Berlin, Germany|
|Number of pages||19|
|Publication status||Published - 2004|
|Name||Lecture Notes in Computer Science|
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.