A Simulation-Based Analysis of Interdependent Populations in a Dynamic Ecological Environment - Artificial Intelligence Applications and Innovations (AIAI 2018) Access content directly
Conference Papers Year : 2018

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

Kristiyan Balabanov
  • Function : Author
  • PersonId : 1033468
Costin Badica
  • Function : Author
  • PersonId : 1007994
Florin Leon
  • Function : Author
  • PersonId : 1033469

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.
Fichier principal
Vignette du fichier
467708_1_En_37_Chapter.pdf (754.98 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01821038 , version 1 (22-06-2018)

Licence

Attribution

Identifiers

Cite

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⟩
237 View
61 Download

Altmetric

Share

Gmail Facebook X LinkedIn More