The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Complex Adaptive Information Networks for Defence: Networks for Self-Synchronization
Abstract
This chapter focuses on understanding the nature of the information networks that can create Self-Synchronization of the force. The analysis takes place at a number of levels, which for simplicity, are called Levels 1, 2, and 3. At Level 1 (“linked”), the author considers the basic node and linkage topology. At Level 2 (“synched”), he considers the local interaction between intelligent nodes, sharing the information and awareness required for Self-Synchronization in the cognitive domain. At Level 3 (“cliqued”), the author considers how such local networking feeds through into emergent clustering effects in the physical domain. Structured experimental games coupled with information entropy-based measures of merit illustrate these ideas, as do models of fundamental information networking dynamics and their resultant emergent behaviour. It turns out that the tools, models, and concepts of Complexity Theory give deep insight into the topic of Self-Synchronization.
Related Content
S. Vijay Anand, Sathis Kumar B..
© 2023.
12 pages.
|
Sudarson Rama Perumal, Muthumanikandan V., Sushmitha J..
© 2023.
30 pages.
|
Sipra Swain, Biswa Ranjan Senapati, Pabitra Mohan Khilar.
© 2023.
31 pages.
|
Uma Mageswari R., Nallarasu Krishnan, Mohammed Sirajudeen Yoosuf, Murugan K., Sankar Ram C..
© 2023.
20 pages.
|
Divya L., Pradeep Kumar T. S..
© 2023.
15 pages.
|
Pradeep Kumar T. S., Vetrivelan P..
© 2023.
15 pages.
|
Vanitha Veerasamy, Rajathi Natarajan.
© 2023.
16 pages.
|
|
|