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The role of agent systems in complex modeling and decision making

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F25%3A00643604" target="_blank" >RIV/67985807:_____/25:00643604 - isvavai.cz</a>

  • Result on the web

    <a href="https://msed.vse.cz/msed_2025/article/msed-2025-808-paper.pdf" target="_blank" >https://msed.vse.cz/msed_2025/article/msed-2025-808-paper.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The role of agent systems in complex modeling and decision making

  • Original language description

    Agent systems, particularly multi-agent systems, are becoming increasingly important tools for modeling and decision-making in complex environments, including finance, optimization, and epidemics. These systems simulate interactions between autonomous agents, which are individual entities that make decisions based on predefined rules, enabling the study of decentralized phenomena such as market behavior, social interactions, and information diffusion. By incorporating advanced statistical techniques, agent systems offer a more dynamic and adaptable approach compared to traditional, centralized models, capturing emergent behaviors and optimizing decisions in uncertain environments. This paper explores the role of agent systems in addressing challenges in complex domains, with a focus on their application in finance, optimization, epidemic modeling, and combating disinformation. The integration of agent-based models with principles of statistics and information theory is examined as a key factor driving the effectiveness of these systems in real-world applications. Through this examination, the paper highlights the growing significance of agent systems in tackling modern, decentralized problems that traditional methods have struggled to address.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    The 19th International Days of Statistics and Economics Conference Proceedings.

  • ISBN

    978-80-87990-35-3

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    121-130

  • Publisher name

    Melandrium

  • Place of publication

    Slaný

  • Event location

    Prague

  • Event date

    Sep 4, 2025

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article