Paper Info
Title
Self-Organization and Artificial Life
Abstract
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Self-organization can be broadly defined as the ability of a system to display ordered spatiotemporal patterns solely as the result of the interactions among the system components. Processes of this kind characterize both living and artificial systems, making self-organization a concept that is at the basis of several disciplines, from physics to biology and engineering. Placed at the frontiers between disciplines, artificial life (ALife) has heavily borrowed concepts and tools from the study of self-organization, providing mechanistic interpretations of lifelike phenomena as well as useful constructivist approaches to artificial system design. Despite its broad usage within ALife, the concept of self-organization has been often excessively stretched or misinterpreted, calling for a clarification that could help with tracing the borders between what can and cannot be considered self-organization. In this review, we discuss the fundamental aspects of self-organization and list the main usages within three primary ALife domains, namely “soft” (mathematical/computational modeling), “hard” (physical robots), and “wet” (chemical/biological systems) ALife. We also provide a classification to locate this research. Finally, we discuss the usefulness of self-organization and related concepts within ALife studies, point to perspectives and challenges for future research, and list open questions. We hope that this work will motivate discussions related to self-organization in ALife and related fields.</para>
Year
DOI
Venue
2019
10.1162/artl_a_00324
Artificial Life
Keywords
DocType
Volume
Self-organization,review,classification,soft ALife,hard ALife,wet ALife
Journal
26
Issue
ISSN
Citations 
3
1064-5462
1
PageRank 
References 
Authors
0.35
34
4
Name
Order
Citations
PageRank
Carlos Gershenson192.16
Vito Trianni277851.87
Justin Werfel330829.53
Hiroki Sayama431949.14