Skip to Main content Skip to Navigation
Conference papers

A Simulation-Based Analysis of Interdependent Populations in a Dynamic Ecological Environment

Abstract : With the ever increasing computational power of computers, simulation-based approaches have become a feasible testing technique that does not require investing valuable resources to create an actual prototype. Thus, design changes can be introduced and design errors can be fixed before it is too late, making simulation a cheaper, safer and often more acceptable from an ethical perspective approach. In our paper we summarize the results from the analysis with the help of a computational simulation of a simple, yet analytically intractable problem scenario from the field of ecology. Our main goal is to confirm that even with a seemingly simple agent-based model and simulation, one could obtain plausible results regarding a system’s real life behavior. As a last point we propose a more efficient alternative for analysis, rather than the more expensive simulation.
Document type :
Conference papers
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download

https://hal.inria.fr/hal-01821038
Contributor : Hal Ifip <>
Submitted on : Friday, June 22, 2018 - 11:44:26 AM
Last modification on : Wednesday, September 5, 2018 - 2:22:06 PM
Long-term archiving on: : Tuesday, September 25, 2018 - 8:51:40 AM

File

467708_1_En_37_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Kristiyan Balabanov, Doina Logofătu, Costin Badica, Florin Leon. A Simulation-Based Analysis of Interdependent Populations in a Dynamic Ecological Environment. 14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2018, Rhodes, Greece. pp.437-448, ⟨10.1007/978-3-319-92007-8_37⟩. ⟨hal-01821038⟩

Share

Metrics

Record views

308

Files downloads

2