SMA-based simulation of system originally represented with EDO

Ekaitz Zulueta Guerrero; Asier González González; Jose Manuel Lopez-Guede; Isidro Calvo Gordillo

doi:10.1016/j.riai.2011.09.011

SMA-based simulation of system originally represented with EDO

Ekaitz Zulueta Guerrero, Asier González González, Jose Manuel Lopez-Guede, Isidro Calvo Gordillo

Artificial Intelligence

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

In the present work a methodology is exposed to model using a Multi-Agent System (MAS) biological and physiological dynamic systems with discrete quantified variables, such as growth and decrease of populations or epidemiological modelling of disease. It is shown a procedure to transform a Ordinary Differential Equations system (ODE) (that models the environment correctly) on an equivalent MAS using a schema based on Monte Carlo method. A practical case based on a mathematical model of Chronic Myeloid Leukaemia (CML) is used to compare the methodology based on agents with the traditional model based on an ODE system. A simulation for each model (MAS and ODE) is executed and the results obtained with both methodologies are compared.

Translated title of the contribution	Simulatión basada en SMA de sistemas originalmente representados con EDO
Original language	English
Pages (from-to)	323-333
Number of pages	11
Journal	RIAI - Revista Iberoamericana de Automatica e Informatica Industrial
Volume	8
Issue number	4
DOIs	https://doi.org/10.1016/j.riai.2011.09.011
Publication status	Published - 2011

Keywords

Agent-based model
Differential equation
Monte Carlo

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.riai.2011.09.011

Cite this

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abstract = "In the present work a methodology is exposed to model using a Multi-Agent System (MAS) biological and physiological dynamic systems with discrete quantified variables, such as growth and decrease of populations or epidemiological modelling of disease. It is shown a procedure to transform a Ordinary Differential Equations system (ODE) (that models the environment correctly) on an equivalent MAS using a schema based on Monte Carlo method. A practical case based on a mathematical model of Chronic Myeloid Leukaemia (CML) is used to compare the methodology based on agents with the traditional model based on an ODE system. A simulation for each model (MAS and ODE) is executed and the results obtained with both methodologies are compared.",

keywords = "Agent-based model, Differential equation, Monte Carlo",

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T1 - SMA-based simulation of system originally represented with EDO

AU - Guerrero, Ekaitz Zulueta

AU - González, Asier González

AU - Lopez-Guede, Jose Manuel

AU - Gordillo, Isidro Calvo

PY - 2011

Y1 - 2011

N2 - In the present work a methodology is exposed to model using a Multi-Agent System (MAS) biological and physiological dynamic systems with discrete quantified variables, such as growth and decrease of populations or epidemiological modelling of disease. It is shown a procedure to transform a Ordinary Differential Equations system (ODE) (that models the environment correctly) on an equivalent MAS using a schema based on Monte Carlo method. A practical case based on a mathematical model of Chronic Myeloid Leukaemia (CML) is used to compare the methodology based on agents with the traditional model based on an ODE system. A simulation for each model (MAS and ODE) is executed and the results obtained with both methodologies are compared.

AB - In the present work a methodology is exposed to model using a Multi-Agent System (MAS) biological and physiological dynamic systems with discrete quantified variables, such as growth and decrease of populations or epidemiological modelling of disease. It is shown a procedure to transform a Ordinary Differential Equations system (ODE) (that models the environment correctly) on an equivalent MAS using a schema based on Monte Carlo method. A practical case based on a mathematical model of Chronic Myeloid Leukaemia (CML) is used to compare the methodology based on agents with the traditional model based on an ODE system. A simulation for each model (MAS and ODE) is executed and the results obtained with both methodologies are compared.

KW - Agent-based model

KW - Differential equation

KW - Monte Carlo

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SN - 1697-7912

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JO - RIAI - Revista Iberoamericana de Automatica e Informatica Industrial

JF - RIAI - Revista Iberoamericana de Automatica e Informatica Industrial

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ER -

SMA-based simulation of system originally represented with EDO

Abstract

Keywords

UN SDGs

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