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Data Mining Applied to the Validation of Agent Based Models

Data Mining Applied to the Validation of Agent Based Models
Data Mining Applied to the Validation of Agent Based Models
Agent Based Modeling is the most interesting and advanced approach for simulating a complex system: in a social context, the single parts and the whole are often very hard to describe in detail. Besides, there are agent based formalisms which allow to study the emergency of social behavior with the creation and study of models, known as artificial societies. Thanks to the ever increasing computational power, it's been possible to use such models to create software, based on intelligent agents, which aggregate behavior is complex and difficult to predict, and can be used in open and distributed systems. Data mining is born in the last decades in order to help users in finding useful knowledge from the otherwise overwhelming amount of data available nowadays from the web and the data collected every day by companies. Data Mining techniques can therefore be the keystone to reveal non-trivial knowledge expressed by the initial assumption used to build the micro-level of the model and the structure of the society of agents that emerged from the simulation.
Remondino, Marco
8c910fc7-c73f-4b1f-8da1-3d7f9702b7ae
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Remondino, Marco
8c910fc7-c73f-4b1f-8da1-3d7f9702b7ae
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2

Remondino, Marco and Correndo, Gianluca (2005) Data Mining Applied to the Validation of Agent Based Models. Proc. of the 19th European Conference on Modelling and Simulation.

Record type: Conference or Workshop Item (Paper)

Abstract

Agent Based Modeling is the most interesting and advanced approach for simulating a complex system: in a social context, the single parts and the whole are often very hard to describe in detail. Besides, there are agent based formalisms which allow to study the emergency of social behavior with the creation and study of models, known as artificial societies. Thanks to the ever increasing computational power, it's been possible to use such models to create software, based on intelligent agents, which aggregate behavior is complex and difficult to predict, and can be used in open and distributed systems. Data mining is born in the last decades in order to help users in finding useful knowledge from the otherwise overwhelming amount of data available nowadays from the web and the data collected every day by companies. Data Mining techniques can therefore be the keystone to reveal non-trivial knowledge expressed by the initial assumption used to build the micro-level of the model and the structure of the society of agents that emerged from the simulation.

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More information

Published date: June 2005
Venue - Dates: Proc. of the 19th European Conference on Modelling and Simulation, 2005-06-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 267933
URI: https://eprints.soton.ac.uk/id/eprint/267933
PURE UUID: f7bae4ef-9312-48db-8303-03d8269741a0
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759

Catalogue record

Date deposited: 22 Sep 2009 15:14
Last modified: 06 Jun 2018 12:39

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Contributors

Author: Marco Remondino
Author: Gianluca Correndo ORCID iD

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