Agent Based Modeling of Fish Shoal Behavior
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F23%3A43906625" target="_blank" >RIV/60076658:12520/23:43906625 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-34960-7_1" target="_blank" >https://doi.org/10.1007/978-3-031-34960-7_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-34960-7_1" target="_blank" >10.1007/978-3-031-34960-7_1</a>
Alternative languages
Result language
angličtina
Original language name
Agent Based Modeling of Fish Shoal Behavior
Original language description
Fish require a sufficient amount of dissolved oxygen in the water to breathe and maintain their metabolic functions. Insufficient levels of dissolved oxygen can lead to stress, illness, and even death among the fish population. Therefore, it is crucial to model and simulate the relationship between dissolved oxygen levels and fish behavior in order to optimize aquarium design and management. One approach to studying this relationship is through multiagent based modeling. This method involves creating a virtual environment in which multiple agents, representing individual fish, interact with each other and the environment based on a set of predefined rules. In the context of aquarium simulation, the agents would represent individual fish, and the environment would represent the aquarium water and its parameters. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10610 - Biophysics
Result continuities
Project
<a href="/en/project/LM2018099" target="_blank" >LM2018099: South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-031-34959-1
ISSN
0302-9743
e-ISSN
—
Number of pages
11
Pages from-to
3-13
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
Berlin
Event location
Meloneras
Event date
Jun 12, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—