The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Ecosystems Computing: Introduction to Biogeographic Computation
|
|
Author(s): Rodrigo Pasti (Laboratory of Bioinformatics and Bio-Inspired Computing (LBiC), University of Campinas (UNICAMP), Brazil), Fernando José Von Zuben (Laboratory of Bioinformatics and Bio-Inspired Computing (LBiC), University of Campinas (UNICAMP), Brazil)and Leandro Nunes de Castro (Natural Computing Laboratory (LCoN), Mackenzie University, Brazil)
Copyright: 2014
Pages: 22
Source title:
Natural Computing for Simulation and Knowledge Discovery
Source Author(s)/Editor(s): Leandro Nunes de Castro (Mackenzie University, Brazil)
DOI: 10.4018/978-1-4666-4253-9.ch018
Purchase
|
Abstract
The main issue to be presented in this paper is based on the premise that Nature computes, that is, processes information. This is the fundamental of Natural Computing. Biogeographic Computation will be presented as a Natural Computing approach aimed at investigating ecosystems computing. The first step towards formalizing Biogeographic Computation will be given by defining a metamodel, a framework capable of generating models that compute through the elements of an ecosystem. It will also be discussed how this computing can be realized in current computers.
Related Content
|
S. Karthigai Selvi, Sharmistha Dey, Siva Shankar Ramasamy, Krishan Veer Singh.
© 2025.
16 pages.
|
|
S. Sheeba Rani, M. Mohammed Yassen, Srivignesh Sadhasivam, Sharath Kumar Jaganathan.
© 2025.
22 pages.
|
|
U. Vignesh, K. Gokul Ram, Abdulkareem Sh. Mahdi Al-Obaidi.
© 2025.
22 pages.
|
|
Monica Bhutani, Monica Gupta, Ayushi Jain, Nishant Rajoriya, Gitika Singh.
© 2025.
24 pages.
|
|
U. Vignesh, Arpan Singh Parihar.
© 2025.
34 pages.
|
|
Sharmistha Dey, Krishan Veer Singh.
© 2025.
20 pages.
|
|
Kalpana Devi.
© 2025.
26 pages.
|
|
|