A divide-and-conquer strategy for qualitative simulation of complex dynamical systems

Autor: R. Guglielmann and L. Ironi

Publikováno v: QR2010: 24th International Workshop on Qualitative Reasoning, pp. 10–17, Portland, Oregon, USA, 8-10 agosto 2010
info:cnr-pdr/source/autori:R. Guglielmann and L. Ironi/congresso_nome:QR2010: 24th International Workshop on Qualitative Reasoning/congresso_luogo:Portland, Oregon, USA/congresso_data:8-10 agosto 2010/anno:2010/pagina_da:10/pagina_a:17/intervallo_pagine:10–17

This paper presents a divide-and-conquer approach that aims at making QSIM simulation tractable. We consider dynamical systems the structure of which can be represented by compartments. The system model is decomposed into sub-models tightly connected

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::6dae77918548a6209e292d25f4bcfcc8
https://publications.cnr.it/doc/298151

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Assessment of physicochemical properties of materials using a model-based system

Autor: L. Ironi, S. Tentoni

Publikováno v: 4th Int. Workshop on Engineering Problems for Qualitative Reasoning: QR for Complex Systems and their Control, pp. 33–41, Stockholm, 1 Aug 1999
info:cnr-pdr/source/autori:L. Ironi, S. Tentoni/congresso_nome:4th Int. Workshop on Engineering Problems for Qualitative Reasoning: QR for Complex Systems and their Control/congresso_luogo:Stockholm/congresso_data:1 Aug 1999/anno:1999/pagina_da:33/pagina_a:41/intervallo_pagine:33–41

This paper describes the basic ideas underlying the design of a computational modeling system that has been successfully employed for the assessment of the mechanical behavior of a class of polymers (different grades and concentrations of Sodium Carb

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::cf33e8e097790f898557757920024ff5
http://www.cnr.it/prodotto/i/265909

An integrated quantitative-qualitative approach to automated modeling of visco-elastic materials from experimental data

Autor: L. Ironi, S. Tentoni

Publikováno v: CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (ICME98), pp. 381–388, Capri, 1-3 july 1998
info:cnr-pdr/source/autori:L. Ironi, S. Tentoni/congresso_nome:CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (ICME98)/congresso_luogo:Capri/congresso_data:1-3 july 1998/anno:1998/pagina_da:381/pagina_a:388/intervallo_pagine:381–388

This paper illustrates, through a case study in the domain of Material Science, how AI and Mathematics techniques can be suitably combined within a unified and robust approach to provide an intelligent tool for modeling. Given a physical system, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::b5ac4738bd49521dbcedc01030de715c
http://www.cnr.it/prodotto/i/265899

Automated selection of an accurate model of a visco-elastic material

Autor: A.C. Capelo, L. Ironi, S. Tentoni

Publikováno v: 9th Int. Workshop on Qualitative Reasoning about Physical Systems (QR'95), pp. 32–43, Amsterdam, 16-19 may 1995
info:cnr-pdr/source/autori:A.C. Capelo, L. Ironi, and S. Tentoni/congresso_nome:9th Int. Workshop on Qualitative Reasoning about Physical Systems (QR'95)/congresso_luogo:Amsterdam/congresso_data:16-19 may 1995/anno:1995/pagina_da:32/pagina_a:43/intervallo_pagine:32–43

A major problem in the development of a computational environment that can reason about physical systems is its ability to formulate a model. The work here described is part of a research effort aimed at developing a comprehensive environment that au

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::d0e071e418e99de53fa40971f08e81f4
https://publications.cnr.it/doc/265876