Sökning: "adaptive dynamics"

Visar resultat 21 - 25 av 94 uppsatser innehållade orden adaptive dynamics.

  1. 21. Investigating the collective behaviour of the stock market using Agent-Based Modelling

    Kandidat-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

    Författare :Christoffer Björklöf; [2022]
    Nyckelord :Stock market; Complex systems; Agent-Based Modelling; Financial Time Series; Kurtosis; Mean; Variance;

    Sammanfattning : The stock market is a place in which numerous entities interact, operate, andchange state based on the decisions they make. Further, the stock market itselfevolves and changes its dynamics over time as a consequence of the individualactions taking place in it. In this sense, the stock market can be viewed andtreated as a complex adaptive system. LÄS MER

  3. 22. Interactive Ecosystem Simulator

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :JOHAN ATTERFORS; CARL HOLMBERG; ALEXANDER HUANG; ROBIN KARHU; BRAGE LAE; ALEXANDER LARSSON VAHLBERG; [2021-09-07]
    Nyckelord :Ecosystem; Simulation; Unity; AI; ML; RL; ABM; GA; PCG; Welford;

    Sammanfattning : As ecosystems are complex domains, both analytical and computer-aided models can aid in gaining insights about their dynamics. One such computer-aided model is the concept of ecosystem simulation. This project aims to build an interactive and visual ecosystem simulation in the Unity game engine. LÄS MER

  4. 23. Dopamine Waves Lead to a Swift and Adaptive Reinforcement Learning Algorithm

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gergö Gömöri; [2021]
    Nyckelord :Reinforcement Learning; Dopamine; Basal Ganglia; Successor Representation; förstärkningsinlärning; dopamin; basala ganglierna; successionsrepresentation;

    Sammanfattning : Accumulating evidence suggests that dopaminergic neurons show significant task-related diversity. Curiously, dopamine concentration and dopamine axon activity show spatio-temporal wave patterns in the dorsal striatum. LÄS MER

  5. 24. Physics-Informed Deep Learning for System Identification of Autonomous Underwater Vehicles : A Lagrangian Neural Network Approach

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Badi Mirzai; [2021]
    Nyckelord :AUV; System Identification; Deep Learning; Physics-Informed Deep Learning; Lagrangian Neural Networks; AUV; System Identifiering; Djupinlärning; Fysik-Informerad Djupinlärning; Lagrangianska Neurala Nätverk;

    Sammanfattning : In this thesis, we explore Lagrangian Neural Networks (LNNs) for system identification of Autonomous Underwater Vehicles (AUVs) with 6 degrees of freedom. One of the main challenges of AUVs is that they have limited wireless communication and navigation under water. LÄS MER

  7. 25. Adaptive SIR-models’ Ability to Both Estimate the Reproduction Number and Forecast the Future Spread of Covid-19 in Sweden

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Tobias Fröberg; Ludwig Nordström; [2021]
    Nyckelord :;

    Sammanfattning : In outbreaks like the Covid-19 pandemic, mathematical models can be used to estimate various epidemiological parameters which model the evolution of the disease. A popular model that is used by Folkhälsomyndigheten (FHM) for estimating the effective reproduction number (Rt) has the shortcoming that it cannot simultaneously forecast the future number of cases. LÄS MER