PRE2019 3 Group7: Difference between revisions

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=Objectives=
=Objectives=
=Users=
=Users=
Biologists, ecologists, government organisations making wildlife plans, education
=State-of-the-art=
=State-of-the-art=
* Multi-agent Based Simulation: Where Are the Agents? https://link.springer.com/chapter/10.1007/3-540-36483-8_1
* Multi-agent Based Simulation: Where Are the Agents? https://link.springer.com/chapter/10.1007/3-540-36483-8_1

Revision as of 19:18, 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

Objectives

Users

Biologists, ecologists, government organisations making wildlife plans, education

State-of-the-art

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

https://www.researchgate.net/profile/Jane_Packard2/publication/237332438_An_artificial_intelligence_modelling_approach_to_simulating_animalhabitat_interactions/links/5b882577a6fdcc5f8b72005e/An-artificial-intelligence-modelling-approach-to-simulating-animal-habitat-interactions.pdf

  • 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


Approach

Planning

Milestones

Deliverables