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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