Abstract
Self-organizing systems-of-systems offer the possibility of autonomously adapting to new circumstances and tasking. This could significantly benefit large endeavors such as smart cities and national defense by increasing the probability that new situations are expediently handled. Complex self-organizing behaviors can be produced by a large set of individual agents all following the same simple set of rules. While biological rule sets have application in achieving human goals, other rules sets may be necessary as these goals are not necessarily mirrored in nature. To this end, a set of system, rather than biologically, inspired rules is introduced and an agent-based model is used to simulate and analyze the behavior produced with various parameters. Agents represent systems and their decisions are defined by the given rule set and parameters. The environment provides a variety of time-critical missions on an ongoing basis. The effectiveness of a particular rule or set of rules is measured by a set of key performance metrics such as the rate at which missions achieve their required capabilities within a given deadline and the average time required to do so. Different rules will be compared using this criterion along with an assessment of their ability to demonstrate beneficial self-organizing behavior.
Recommended Citation
D. M. Curry and C. H. Dagli, "Establishing Rules for Self-Organizing Systems-Of-Systems," Procedia Computer Science, vol. 114, pp. 14 - 18, Elsevier, Oct 2017.
The definitive version is available at https://doi.org/10.1016/j.procs.2017.09.058
Meeting Name
Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS (2017: Oct. 30-Nov. 1, Chicago, IL)
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Adaptive systems; Autonomous agents; Computational methods; Cybernetics; Embedded systems; Smart city; System of systems; Agent-based model; Emergence; Individual agent; Performance metrics; Self organizations; Self-Organizing; Self-organizing behavior; Self-organizing systems; Systems engineering; ABM; Agent-Based Modeling; Self-Organization; SoS
International Standard Serial Number (ISSN)
1877-0509
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2017 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
01 Oct 2017
