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Metamodel or surrogate model is a model of a model, and metamodeling is the process of generating such metamodels. Metamodeling or meta-modeling is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems. As its name implies, this concept applies the notions of meta- and modeling in software engineering and systems engineering. Metamodels are of many types and have diverse applications. A thorough discussion is presented in the following text. 〔 Saraju Mohanty, Chapter 12 Metamodel-Based Fast AMS-SoC Design Methodologies, "(Nanoelectronic Mixed-Signal System Design )", ISBN 978-0071825719 and 0071825711, 1st Edition, McGraw-Hill, 2015. 〕 == Overview == A metamodel or surrogate model is a model of the model, i.e. a simplified model of an actual model of a circuit, system, or software like entity. 〔 Oleg Garitselov, Saraju Mohanty, and Elias Kougianos, "(A Comparative Study of Metamodels for Fast and Accurate Simulation of Nano-CMOS Circuits )", IEEE Transactions on Semiconductor Manufacturing (TSM), Vol. 25, No. 1, February 2012, pp. 26--36. 〕 〔 Saraju Mohanty (Ultra-Fast Design Exploration of Nanoscale Circuits through Metamodeling ), Invited Talk, Semiconductor Research Corportation (SRC), Texas Analog Center for Excellence (TxACE), 27 April 2012. 〕 Metamodel can be a mathematical relation or algorithm representing input and output relations. A model is an abstraction of phenomena in the real world; a metamodel is yet another abstraction, highlighting properties of the model itself. A model conforms to its metamodel in the way that a computer program conforms to the grammar of the programming language in which it is written. Various types of metamodels include polynomial equations, neural network, Kriging, etc. "Metamodeling" is the construction of a collection of "concepts" (things, terms, etc.) within a certain domain. Metamodeling typically involves studying the output and input relationships and then fitting right metamodels to represent that behavior. Common uses for metamodels are: * As a schema for semantic data that needs to be exchanged or stored * As a language that supports a particular method or process * As a language to express additional semantics of existing information * As a mechanism to create tools that work with a broad class of models at run time * As a schema for modeling and automatically exploring sentences of a language with applications to automated test synthesis * As an approximation of a higher-fidelity model for use when reducing computational cost is necessary Because of the "meta" character of metamodeling, both the praxis and theory of metamodels are of relevance to metascience, metaphilosophy, metatheories and systemics, and meta-consciousness. The concept can be useful in mathematics, and has practical applications in computer science and computer engineering/software engineering. The latter are the main focus of this article. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Metamodeling」の詳細全文を読む スポンサード リンク
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