Conferencia

Foguelman, D.; Castro, R.; Limere V.; Claeys D. "Modeling emergence by integrating DEVS and machine learning" (2018) 32nd Annual European Simulation and Modelling Conference, ESM 2018:44-48
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Abstract:

Analyzing complex adaptive systems is always a challenging task. Nature and its underlying governing rules do not lways show clear patterns. The hypothesis of mergent properties in such systems is hard to formulate and difficult to infer. In his context, a great effort is being done by the Modeling and Simulation (M&S)community towards modeling and handling mergent behavior. Our research proposes minimal modifications to the Discrete Event System Specification (DEVS) M&S framework that brings the detection of emergent behavior nto the loop of a DEVS simulation. New knowledge about behavior icro levels is learned dynamically and encoded into the DEVS layered structure at macro levels. The approach bridges the gap etween micro and macro representations of a given system. A proof of concept was implemented for the canonical Boids odel showing promising results. © 2018 PDF-CONFERENCE. All rights reserved.

Registro:

Documento: Conferencia
Título:Modeling emergence by integrating DEVS and machine learning
Autor:Foguelman, D.; Castro, R.; Limere V.; Claeys D.
Filiación:Departamento de Computación FCEyN, UBA, ICC, CONICET Ciudad Universitaria, Pabellón 1, Buenos Aires, C1428EGA, Argentina
Palabras clave:Boids; Complex adaptive systems; DEVS; Emergence; Machine learning.; Modeling; Simulation; Adaptive systems; Artificial intelligence; Behavioral research; Learning systems; Modal analysis; Models; Specifications; Boids; Complex adaptive systems; DEVS; Emergence; Simulation; Discrete event simulation
Año:2018
Página de inicio:44
Página de fin:48
Título revista:32nd Annual European Simulation and Modelling Conference, ESM 2018
Título revista abreviado:Annu. Eur. Simul. Model. Conf. , ESM
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97894928_v_n_p44_Foguelman

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Citas:

---------- APA ----------
Foguelman, D., Castro, R., Limere V. & Claeys D. (2018) . Modeling emergence by integrating DEVS and machine learning. 32nd Annual European Simulation and Modelling Conference, ESM 2018, 44-48.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97894928_v_n_p44_Foguelman [ ]
---------- CHICAGO ----------
Foguelman, D., Castro, R., Limere V., Claeys D. "Modeling emergence by integrating DEVS and machine learning" . 32nd Annual European Simulation and Modelling Conference, ESM 2018 (2018) : 44-48.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97894928_v_n_p44_Foguelman [ ]
---------- MLA ----------
Foguelman, D., Castro, R., Limere V., Claeys D. "Modeling emergence by integrating DEVS and machine learning" . 32nd Annual European Simulation and Modelling Conference, ESM 2018, 2018, pp. 44-48.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97894928_v_n_p44_Foguelman [ ]
---------- VANCOUVER ----------
Foguelman, D., Castro, R., Limere V., Claeys D. Modeling emergence by integrating DEVS and machine learning. Annu. Eur. Simul. Model. Conf. , ESM. 2018:44-48.
Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97894928_v_n_p44_Foguelman [ ]