Simulación de Catástrofes

On when to use Agent Based Modelling (ABM):

• The behavior of individuals cannot be clearly defined through aggregate transition rates.
• Individual behavior is complex. Everything can be done with equations, in principle, but the complexity of differential equations increases exponentially as the complexity of behavior increases. Describing complex individual behavior with equations becomes intractable.
• Activities are a more natural way of describing the system than processes.
• Validation and calibration of the model through expert judgment is crucial. ABM is often the most appropriate way of describing what is actually happening in the real world, and the experts can easily ‘‘connect’’ to the model and have a feeling of ‘‘ownership.’’
• Stochasticity applies to the agents’ behavior. With ABM, sources of randomness are applied to the right places as opposed to a noise term added more or less arbitrarily to an aggregate equation.

Extracted from Agent-based modeling: Methods and techniques for simulating human systems by Eric Bonabeau.

Para mostar los resultados de las simulaciones mediante agentes nos valdremos, entre otros, de la API de Google Maps.

Para ello necesitaremos representar densidades de población y posibles movimientos.

Algunos enlaces de interés:

API de Google Maps

Some experiments with Google Maps

Disater coordination tool (Ejemplo de Mapplets)

Google Maps Wiki

Título:
Simulación mediante técnicas de sistemas multiagente, de conflictos internacionales mediante la plataforma EINSTEIN
Objetivo:
Metodología para la simulación y predicción de la evolución de conflictos o desastres naturales mediante la plataforma EINSTEIN
Titulación:
Ing. superior
Número de alumnos:
1 o 2
Requisitos:
Aconsejable haber cursado la asignatura de agentes (libre conf.) del departamento de CCIA. Es aconsejable alguna experiencia con la API de Google Earth
Tutores:
Joaquín Borrego, Gonzalo Aranda