TY - GEN
T1 - From Individual Based Modeling to Autonomy Oriented Computation
AU - Jin, Xiaolong
AU - LIU, Jiming
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=35048878790&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-25928-2_13
DO - 10.1007/978-3-540-25928-2_13
M3 - Conference proceeding
AN - SCOPUS:35048878790
SN - 9783540224778
T3 - Lecture Notes in Computer Science
SP - 151
EP - 169
BT - Agents and Computational Autonomy
A2 - Nickles, Matthias
A2 - Rovatsos, Michael
A2 - Weiß, Gerhard
PB - Springer Berlin Heidelberg
T2 - 1st International Workshop on Computational Autonomy – Potential, Risks, Solutions (AUTONOMY 2003)
Y2 - 14 July 2003
ER -