Research output: Contribution to journal › Editorial › peer-review
Mathematical Modeling and the Philosophy of Science. / Il’in, V. P.
In: Herald of the Russian Academy of Sciences, Vol. 88, No. 1, 01.01.2018, p. 81-88.Research output: Contribution to journal › Editorial › peer-review
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TY - JOUR
T1 - Mathematical Modeling and the Philosophy of Science
AU - Il’in, V. P.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Philosophical and methodological aspects of predictive mathematical modeling are considered. Predictive mathematical modeling in the epoch of technological challenges to postindustrial society is becoming a third way of cognition, supplementing and uniting classical theory and natural experiment. The author describes conceptual, architectoral, and technological problems of creating an integrated software environment for high-performance solutions to interdisciplinary direct and reciprocal new-generation problems for multiprocessor petascale computing systems with scalable parallelism. Trends are unfolding in the development of “neoinformatics” with the introduction of cognitive principles into the automation of model and algorithm building and into the creation of decision-making systems for a wide range of users from various production and social spheres. Constructive and infrastructural principles are proposed for the development of an open basic modeling system that supports all basic stages of science-intensive computer experimentation and is oriented at an effective long-life cycle and coordinated development by various design teams.
AB - Philosophical and methodological aspects of predictive mathematical modeling are considered. Predictive mathematical modeling in the epoch of technological challenges to postindustrial society is becoming a third way of cognition, supplementing and uniting classical theory and natural experiment. The author describes conceptual, architectoral, and technological problems of creating an integrated software environment for high-performance solutions to interdisciplinary direct and reciprocal new-generation problems for multiprocessor petascale computing systems with scalable parallelism. Trends are unfolding in the development of “neoinformatics” with the introduction of cognitive principles into the automation of model and algorithm building and into the creation of decision-making systems for a wide range of users from various production and social spheres. Constructive and infrastructural principles are proposed for the development of an open basic modeling system that supports all basic stages of science-intensive computer experimentation and is oriented at an effective long-life cycle and coordinated development by various design teams.
KW - algorithms
KW - applied software architecture
KW - high-performance computing
KW - integrated instrumental environment
KW - mathematical models
KW - technological stages of modeling
KW - third way of cognition
UR - http://www.scopus.com/inward/record.url?scp=85043522473&partnerID=8YFLogxK
U2 - 10.1134/S1019331618010021
DO - 10.1134/S1019331618010021
M3 - Editorial
AN - SCOPUS:85043522473
VL - 88
SP - 81
EP - 88
JO - Herald of the Russian Academy of Sciences
JF - Herald of the Russian Academy of Sciences
SN - 1019-3316
IS - 1
ER -
ID: 12100209