PRE2019 3 Group7: Difference between revisions
Jump to navigation
Jump to search
(→Users) |
|||
| Line 19: | Line 19: | ||
=Subject= | =Subject= | ||
Simulating populations using AI. | |||
=Objectives= | =Objectives= | ||
=Users= | =Users= | ||
Revision as of 20:19, 8 February 2020
Group Members
| Name | Study | Student ID |
|---|---|---|
| Daan Schalk | 0962457 | |
| Job Willems | 1003011 | |
| Jasper Dellaert | 1252454 | |
| Sanne van Wijk | 1018078 | |
| Wietske Blijjenberg | 1025111 |
Subject
Simulating populations using AI.
Objectives
Users
Biologists, ecologists, government organisations making wildlife plans, education
State-of-the-art
- Multi-agent Based Simulation: Where Are the Agents? https://link.springer.com/chapter/10.1007/3-540-36483-8_1
- VORTEX: a computer simulation model for population viability analysis
https://www.publish.csiro.au/WR/WR9930045
- A Generalized Computer Simulation Model for Fish Population Studies
https://afspubs.onlinelibrary.wiley.com/doi/abs/10.1577/1548-8659(1969)98[505:AGCSMF]2.0.CO;2
- Artificial Intelligence techniques: An introduction to their use for modelling environmental systems
https://www.sciencedirect.com/science/article/abs/pii/S0378475408000505
- An artificial intelligence modelling approach to simulating animal habitat interactions
- Application of Multi-agent Simulation in Animal Epidemic Emergency Management: Take an Example of AFS (Africa Fever Swine) Policy
http://www.dpi-proceedings.com/index.php/dtetr/article/view/31843
- A Study of AI Population Dynamics with Million-agent Reinforcement Learning (2018)
https://dl.acm.org/doi/10.5555/3237383.3238096