Cognitive modeling of computational and communications systems based on physics

Martinez Alba, Juan Carlos (2006). Cognitive modeling of computational and communications systems based on physics. En: "The 7th International Conference on Cognitive Modeling", 5-8 April 2006, Trieste, Italia. ISBN 88 7873 031 9.

Descripción

Título: Cognitive modeling of computational and communications systems based on physics
Autor/es:
  • Martinez Alba, Juan Carlos
Tipo de Documento: Ponencia en Congreso o Jornada (Póster)
Título del Evento: The 7th International Conference on Cognitive Modeling
Fechas del Evento: 5-8 April 2006
Lugar del Evento: Trieste, Italia
Título del Libro: The International Conference on Cognitive Modeling
Fecha: 5 Abril 2006
ISBN: 88 7873 031 9
Volumen: 7th Co
Materias:
Palabras Clave Informales: soar act-r cognitive science model particles physics-based
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Electrónica Física
Licencias Creative Commons: Reconocimiento - No comercial - Compartir igual

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Resumen

The evolution towards new high performance and processing paradigms is accompanied by new tools to model the new complex designs. In this line of work new methods for representing and modeling complex systems, we propose a physics-based model for cognitive and new computing and distributed paradigms. We present a formalization for a physics-based idea – originally used for modeling a mobile networks - where we treat data as the most “intelligent” parts and the classically though as intelligent processes as mere “collisions” of particles. The use for cognitive models and tools is proposed here; a close look to possible applications in GOMS, ACT-R, or SOAR will be the subject of future extended presentations. An advantage of particles was the possibility to bring nature side-effects back to our design, converting them in new features or innovations to the system or introducing metaphor-based parts to complete the original system.

Más información

ID de Registro: 1723
Identificador DC: http://oa.upm.es/1723/
Identificador OAI: oai:oa.upm.es:1723
Depositado por: juan c Martinez
Depositado el: 06 Jul 2009
Ultima Modificación: 20 Abr 2016 06:58
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