Scientific modelling, the Glossary

Table of Contents

1. 100 relations: Abstraction, Analogical modeling, Assembly modelling, Axiomatic system, Building information modeling, C. West Churchman, Cambridge University Press, Catastrophe modeling, Cave painting, Choice modelling, Climate model, Computational model, Computer simulation, Conceptual model, Continuous modelling, Data modeling, Database model, Definition, Deterministic system, Discrete modelling, Econometric model, Economic model, Ecosystem model, Egyptian hieroglyphs, Empirical modelling, Empiricism, Engineering optimization, Enterprise modelling, Experiment, Formal language, Formal system, Futures studies, General relativity, Geologic modelling, Geometry, Graphical model, Hans Freudenthal, Homology modeling, Hydrogeology, Hydrography, Inertial frame of reference, Internet Encyclopedia of Philosophy, Interpretation (logic), John von Neumann, Laboratory rat, Leo Apostel, Leonardo da Vinci, Logic, Magnetic field, Mathematical model, ... Expand index (50 more) »

2. Conceptual modelling
3. Interpretation (philosophy)

Abstraction

Abstraction is a process wherein general rules and concepts are derived from the usage and classification of specific examples, literal (real or concrete) signifiers, first principles, or other methods.

See Scientific modelling and Abstraction

Analogical modeling

Analogical modeling (AM) is a formal theory of exemplar based analogical reasoning, proposed by Royal Skousen, professor of Linguistics and English language at Brigham Young University in Provo, Utah.

See Scientific modelling and Analogical modeling

Assembly modelling

Assembly modeling is a technology and method used by computer-aided design and product visualization computer software systems to handle multiple files that represent components within a product.

See Scientific modelling and Assembly modelling

Axiomatic system

In mathematics and logic, an axiomatic system is any set of primitive notions and axioms to logically derive theorems.

See Scientific modelling and Axiomatic system

Building information modeling

Building information modeling (BIM) is a process involving the generation and management of digital representations of the physical and functional characteristics of buildings and other physical assets.

See Scientific modelling and Building information modeling

C. West Churchman

Charles West Churchman (29 August 1913 – 21 March 2004) was an American philosopher and systems scientist, who was Professor at the School of Business Administration and Professor of Peace and Conflict Studies at the University of California, Berkeley.

See Scientific modelling and C. West Churchman

Cambridge University Press

Cambridge University Press is the university press of the University of Cambridge.

See Scientific modelling and Cambridge University Press

Catastrophe modeling

Catastrophe modeling (also known as cat modeling) is the process of using computer-assisted calculations to estimate the losses that could be sustained due to a catastrophic event such as a hurricane or earthquake.

See Scientific modelling and Catastrophe modeling

Cave painting

In archaeology, cave paintings are a type of parietal art (which category also includes petroglyphs, or engravings), found on the wall or ceilings of caves.

See Scientific modelling and Cave painting

Choice modelling

Choice modelling attempts to model the decision process of an individual or segment via revealed preferences or stated preferences made in a particular context or contexts.

See Scientific modelling and Choice modelling

Climate model

Numerical climate models (or climate system models) are mathematical models that can simulate the interactions of important drivers of climate.

See Scientific modelling and Climate model

Computational model

A computational model uses computer programs to simulate and study complex systems using an algorithmic or mechanistic approach and is widely used in a diverse range of fields spanning from physics, engineering, chemistry and biology to economics, psychology, cognitive science and computer science.

See Scientific modelling and Computational model

Computer simulation

Computer simulation is the process of mathematical modelling, performed on a computer, which is designed to predict the behaviour of, or the outcome of, a real-world or physical system.

See Scientific modelling and Computer simulation

Conceptual model

The term conceptual model refers to any model that is formed after a conceptualization or generalization process. Scientific modelling and conceptual model are conceptual modelling.

See Scientific modelling and Conceptual model

Continuous modelling

Continuous modelling is the mathematical practice of applying a model to continuous data (data which has a potentially infinite number, and divisibility, of attributes).

See Scientific modelling and Continuous modelling

Data modeling

Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.

See Scientific modelling and Data modeling

Database model

A database model is a type of data model that determines the logical structure of a database.

See Scientific modelling and Database model

Definition

A definition is a statement of the meaning of a term (a word, phrase, or other set of symbols).

See Scientific modelling and Definition

Deterministic system

In mathematics, computer science and physics, a deterministic system is a system in which no randomness is involved in the development of future states of the system.

See Scientific modelling and Deterministic system

Discrete modelling

Discrete modelling is the discrete analogue of continuous modelling.

See Scientific modelling and Discrete modelling

Econometric model

Econometric models are statistical models used in econometrics.

See Scientific modelling and Econometric model

Economic model

An economic model is a theoretical construct representing economic processes by a set of variables and a set of logical and/or quantitative relationships between them. Scientific modelling and economic model are conceptual modelling.

See Scientific modelling and Economic model

Ecosystem model

An ecosystem model is an abstract, usually mathematical, representation of an ecological system (ranging in scale from an individual population, to an ecological community, or even an entire biome), which is studied to better understand the real system.

See Scientific modelling and Ecosystem model

Egyptian hieroglyphs

Egyptian hieroglyphs were the formal writing system used in Ancient Egypt for writing the Egyptian language.

See Scientific modelling and Egyptian hieroglyphs

Empirical modelling

Empirical modelling refers to any kind of (computer) modelling based on empirical observations rather than on mathematically describable relationships of the system modelled.

See Scientific modelling and Empirical modelling

Empiricism

In philosophy, empiricism is an epistemological view which holds that true knowledge or justification comes only or primarily from sensory experience and empirical evidence.

See Scientific modelling and Empiricism

Engineering optimization

Engineering optimization is the subject which uses optimization techniques to achieve design goals in engineering.

See Scientific modelling and Engineering optimization

Enterprise modelling

Enterprise modelling is the abstract representation, description and definition of the structure, processes, information and resources of an identifiable business, government body, or other large organization.

See Scientific modelling and Enterprise modelling

Experiment

An experiment is a procedure carried out to support or refute a hypothesis, or determine the efficacy or likelihood of something previously untried.

See Scientific modelling and Experiment

Formal language

In logic, mathematics, computer science, and linguistics, a formal language consists of words whose letters are taken from an alphabet and are well-formed according to a specific set of rules called a formal grammar.

See Scientific modelling and Formal language

Formal system

A formal system is an abstract structure and formalization of an axiomatic system used for inferring theorems from axioms by a set of inference rules.

See Scientific modelling and Formal system

Futures studies

Futures studies, futures research, futurism research, futurism, or futurology is the systematic, interdisciplinary and holistic study of social/technological advancement, and other environmental trends; often for the purpose of exploring how people will live and work in the future.

See Scientific modelling and Futures studies

General relativity

General relativity, also known as the general theory of relativity and Einstein's theory of gravity, is the geometric theory of gravitation published by Albert Einstein in 1915 and is the current description of gravitation in modern physics.

See Scientific modelling and General relativity

Geologic modelling

Geologic modelling, geological modelling or geomodelling is the applied science of creating computerized representations of portions of the Earth's crust based on geophysical and geological observations made on and below the Earth surface.

See Scientific modelling and Geologic modelling

Geometry

Geometry is a branch of mathematics concerned with properties of space such as the distance, shape, size, and relative position of figures.

See Scientific modelling and Geometry

Graphical model

A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables.

See Scientific modelling and Graphical model

Hans Freudenthal

Hans Freudenthal (17 September 1905 – 13 October 1990) was a Jewish German-born Dutch mathematician.

See Scientific modelling and Hans Freudenthal

Homology modeling

Homology modeling, also known as comparative modeling of protein, refers to constructing an atomic-resolution model of the "target" protein from its amino acid sequence and an experimental three-dimensional structure of a related homologous protein (the "template").

See Scientific modelling and Homology modeling

Hydrogeology

Hydrogeology (hydro- meaning water, and -geology meaning the study of the Earth) is the area of geology that deals with the distribution and movement of groundwater in the soil and rocks of the Earth's crust (commonly in aquifers).

See Scientific modelling and Hydrogeology

Hydrography

Hydrography is the branch of applied sciences which deals with the measurement and description of the physical features of oceans, seas, coastal areas, lakes and rivers, as well as with the prediction of their change over time, for the primary purpose of safety of navigation and in support of all other marine activities, including economic development, security and defense, scientific research, and environmental protection.

See Scientific modelling and Hydrography

Inertial frame of reference

In classical physics and special relativity, an inertial frame of reference (also called inertial space, or Galilean reference frame) is a stationary or uniformly moving frame of reference.

See Scientific modelling and Inertial frame of reference

Internet Encyclopedia of Philosophy

The Internet Encyclopedia of Philosophy (IEP) is a scholarly online encyclopedia with 880 articles about philosophy, philosophers, and related topics.

See Scientific modelling and Internet Encyclopedia of Philosophy

Interpretation (logic)

An interpretation is an assignment of meaning to the symbols of a formal language. Scientific modelling and interpretation (logic) are interpretation (philosophy).

See Scientific modelling and Interpretation (logic)

John von Neumann

John von Neumann (Neumann János Lajos; December 28, 1903 – February 8, 1957) was a Hungarian and American mathematician, physicist, computer scientist, engineer and polymath.

See Scientific modelling and John von Neumann

Laboratory rat

Laboratory rats or lab rats are strains of the rat subspecies Rattus norvegicus domestica (Domestic Norwegian rat) which are bred and kept for scientific research.

See Scientific modelling and Laboratory rat

Leo Apostel

Leo Apostel (Antwerp, 4 September 1925 – Ghent, 10 August 1995) was a Belgian philosopher and professor at the Vrije Universiteit Brussel and Ghent University.

See Scientific modelling and Leo Apostel

Leonardo da Vinci

Leonardo di ser Piero da Vinci (15 April 14522 May 1519) was an Italian polymath of the High Renaissance who was active as a painter, draughtsman, engineer, scientist, theorist, sculptor, and architect.

See Scientific modelling and Leonardo da Vinci

Logic

Logic is the study of correct reasoning.

See Scientific modelling and Logic

Magnetic field

A magnetic field (sometimes called B-field) is a physical field that describes the magnetic influence on moving electric charges, electric currents, and magnetic materials.

See Scientific modelling and Magnetic field

Mathematical model

A mathematical model is an abstract description of a concrete system using mathematical concepts and language. Scientific modelling and mathematical model are conceptual modelling.

See Scientific modelling and Mathematical model

Mathematical modelling of infectious diseases

Mathematical models can project how infectious diseases progress to show the likely outcome of an epidemic (including in plants) and help inform public health and plant health interventions.

See Scientific modelling and Mathematical modelling of infectious diseases

Metabolic network modelling, also known as metabolic network reconstruction or metabolic pathway analysis, allows for an in-depth insight into the molecular mechanisms of a particular organism.

See Scientific modelling and Metabolic network modelling

Microscale and macroscale models

Microscale models form a broad class of computational models that simulate fine-scale details, in contrast with macroscale models, which amalgamate details into select categories.

See Scientific modelling and Microscale and macroscale models

Model

A model is an informative representation of an object, person or system.

See Scientific modelling and Model

Modeling and simulation

Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, behavioral, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making.

See Scientific modelling and Modeling and simulation

Modeling language

A modeling language is any artificial language that can be used to express data, information or knowledge or systems in a structure that is defined by a consistent set of rules.

See Scientific modelling and Modeling language

Modelling biological systems

Modelling biological systems is a significant task of systems biology and mathematical biology.

See Scientific modelling and Modelling biological systems

Molecular modelling

Molecular modelling encompasses all methods, theoretical and computational, used to model or mimic the behaviour of molecules.

See Scientific modelling and Molecular modelling

Multiscale modeling

Multiscale modeling or multiscale mathematics is the field of solving problems that have important features at multiple scales of time and/or space.

See Scientific modelling and Multiscale modeling

Neuro-linguistic programming

Neuro-linguistic programming (NLP) is a pseudoscientific approach to communication, personal development and psychotherapy, that first appeared in Richard Bandler and John Grinder's 1975 book The Structure of Magic I. NLP asserts that there is a connection between neurological processes, language and acquired behavioral patterns, and that these can be changed to achieve specific goals in life.

See Scientific modelling and Neuro-linguistic programming

Ontology

Ontology is the philosophical study of being.

See Scientific modelling and Ontology

Operational definition

An operational definition specifies concrete, replicable procedures designed to represent a construct.

See Scientific modelling and Operational definition

Oxford University Press

Oxford University Press (OUP) is the publishing house of the University of Oxford.

See Scientific modelling and Oxford University Press

Phenomenological model

A phenomenological model is a scientific model that describes the empirical relationship of phenomena to each other, in a way which is consistent with fundamental theory, but is not directly derived from theory.

See Scientific modelling and Phenomenological model

Philosophy of science

Philosophy of science is the branch of philosophy concerned with the foundations, methods, and implications of science.

See Scientific modelling and Philosophy of science

Predictive intake modelling

Predictive intake modelling uses mathematical modelling strategies to estimate intake of food, personal care products, and their formulations.

See Scientific modelling and Predictive intake modelling

Predictive modelling

Predictive modelling uses statistics to predict outcomes.

See Scientific modelling and Predictive modelling

Quantification (science)

In mathematics and empirical science, quantification (or quantitation) is the act of counting and measuring that maps human sense observations and experiences into quantities.

See Scientific modelling and Quantification (science)

Reality

Reality is the sum or aggregate of all that is real or existent within the universe, as opposed to that which is only imaginary, nonexistent or nonactual.

See Scientific modelling and Reality

Rule of inference

In philosophy of logic and logic, a rule of inference, inference rule or transformation rule is a logical form consisting of a function which takes premises, analyzes their syntax, and returns a conclusion (or conclusions).

See Scientific modelling and Rule of inference

Scale model

A scale model is a physical model that is geometrically similar to an object (known as the prototype).

See Scientific modelling and Scale model

Science education

Science education is the teaching and learning of science to school children, college students, or adults within the general public.

See Scientific modelling and Science education

Scientific control

A scientific control is an experiment or observation designed to minimize the effects of variables other than the independent variable (i.e. confounding variables).

See Scientific modelling and Scientific control

Scientific law

Scientific laws or laws of science are statements, based on repeated experiments or observations, that describe or predict a range of natural phenomena.

See Scientific modelling and Scientific law

Scientific method

The scientific method is an empirical method for acquiring knowledge that has characterized the development of science since at least the 17th century.

See Scientific modelling and Scientific method

Simulation

A simulation is an imitative representation of a process or system that could exist in the real world.

See Scientific modelling and Simulation

Solid modeling

Solid modeling (or solid modelling) is a consistent set of principles for mathematical and computer modeling of three-dimensional shapes (solids).

See Scientific modelling and Solid modeling

Space mapping

The space mapping methodology for modeling and design optimization of engineering systems was first discovered by John Bandler in 1993.

See Scientific modelling and Space mapping

Special relativity

In physics, the special theory of relativity, or special relativity for short, is a scientific theory of the relationship between space and time.

See Scientific modelling and Special relativity

Statistical model

A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from a larger population).

See Scientific modelling and Statistical model

Stephan Hartmann

Stephan Hartmann (born 1 March 1968) is a German philosopher and Professor of Philosophy of Science at Ludwig Maximilian University of Munich, known for his contributions to formal epistemology.

See Scientific modelling and Stephan Hartmann

Stochastic modelling (insurance)

"Stochastic" means being or having a random variable.

See Scientific modelling and Stochastic modelling (insurance)

Structure

A structure is an arrangement and organization of interrelated elements in a material object or system, or the object or system so organized.

See Scientific modelling and Structure

Subjectivity and objectivity (philosophy)

The distinction between subjectivity and objectivity is a basic idea of philosophy, particularly epistemology and metaphysics.

See Scientific modelling and Subjectivity and objectivity (philosophy)

Surrogate model

A surrogate model is an engineering method used when an outcome of interest cannot be easily measured or computed, so an approximate mathematical model of the outcome is used instead.

See Scientific modelling and Surrogate model

System

A system is a group of interacting or interrelated elements that act according to a set of rules to form a unified whole.

See Scientific modelling and System

System dynamics

System dynamics (SD) is an approach to understanding the nonlinear behaviour of complex systems over time using stocks, flows, internal feedback loops, table functions and time delays.

See Scientific modelling and System dynamics

System-level simulation

System-level simulation (SLS) is a collection of practical methods used in the field of systems engineering, in order to simulate, with a computer, the global behavior of large cyber-physical systems.

See Scientific modelling and System-level simulation

Systems architecture

A system architecture is the conceptual model that defines the structure, behavior, and more views of a system.

See Scientific modelling and Systems architecture

Systems modeling

Systems modeling or system modeling is the interdisciplinary study of the use of models to conceptualize and construct systems in business and IT development.

See Scientific modelling and Systems modeling

Systems theory

Systems theory is the transdisciplinary study of systems, i.e. cohesive groups of interrelated, interdependent components that can be natural or artificial.

See Scientific modelling and Systems theory

Theory

A theory is a rational type of abstract thinking about a phenomenon, or the results of such thinking.

See Scientific modelling and Theory

Tissue culture

Tissue culture is the growth of tissues or cells in an artificial medium separate from the parent organism.

See Scientific modelling and Tissue culture

Understanding

Understanding is a cognitive process related to an abstract or physical object, such as a person, situation, or message whereby one is able to use concepts to model that object.

See Scientific modelling and Understanding

University of Chicago Press

The University of Chicago Press is the university press of the University of Chicago, a private research university in Chicago, Illinois.

See Scientific modelling and University of Chicago Press

Utility

In economics, utility is a measure of the satisfaction that a certain person has from a certain state of the world.

See Scientific modelling and Utility

Visual system

The visual system is the physiological basis of visual perception (the ability to detect and process light).

See Scientific modelling and Visual system

Visualization (graphics)

Visualization (or visualisation (see spelling differences)), also known as Graphics Visualization, is any technique for creating images, diagrams, or animations to communicate a message.

See Scientific modelling and Visualization (graphics)

Water quality modelling

Water quality modeling involves water quality based data using mathematical simulation techniques.

See Scientific modelling and Water quality modelling

World Scientific

World Scientific Publishing is an academic publisher of scientific, technical, and medical books and journals headquartered in Singapore.

See Scientific modelling and World Scientific

See also

Conceptual modelling

• Acceptability
• Analogy
• Barnlund's model of communication
• Concept map
• Conceptual design
• Conceptual framework
• Conceptual model
• Conceptual schema
• Economic model
• Ecopath
• Freedom and constraint topologies
• Imago Universi
• International Conference on Conceptual Modeling
• Interpretation (philosophy)
• Knowledge arena
• Knowledge space (philosophy)
• Mathematical model
• Mathematical modeling
• Models of communication
• Models of scientific inquiry
• Point of view (philosophy)
• Possible world
• Resilience (mathematics)
• SEQUAL framework
• Schramm's model of communication
• Scientific modelling
• Similitude
• Source–message–channel–receiver model of communication
• Terminology model
• Thought experiment
• Transient modelling
• Worldview

Interpretation (philosophy)

• Aesthetic interpretation
• Always already
• Anxiety of influence
• Artwork title
• Counterexample
• Covering cherub
• Descriptive interpretation
• Exegesis
• Interpretability logic
• Interpretation (logic)
• Interpretation (model theory)
• Interpretation (philosophy)
• Interpretations of quantum mechanics
• Interpretivism (legal)
• Judicial interpretation
• Language interpretation
• Literary criticism
• Literary theory
• Metanarratives
• Possible world
• Principle of charity
• Probability interpretations
• Radical interpretation
• Scientific modelling
• Semantics
• The arts and politics
• Translation
• Valuation (logic)

References

[1] https://en.wikipedia.org/wiki/Scientific_modelling

Also known as Applications of scientific modeling, Model (science), Scientific Models, Scientific model, Scientific modeling.

, Mathematical modelling of infectious diseases, Metabolic network modelling, Microscale and macroscale models, Model, Modeling and simulation, Modeling language, Modelling biological systems, Molecular modelling, Multiscale modeling, Neuro-linguistic programming, Ontology, Operational definition, Oxford University Press, Phenomenological model, Philosophy of science, Predictive intake modelling, Predictive modelling, Quantification (science), Reality, Rule of inference, Scale model, Science education, Scientific control, Scientific law, Scientific method, Simulation, Solid modeling, Space mapping, Special relativity, Statistical model, Stephan Hartmann, Stochastic modelling (insurance), Structure, Subjectivity and objectivity (philosophy), Surrogate model, System, System dynamics, System-level simulation, Systems architecture, Systems modeling, Systems theory, Theory, Tissue culture, Understanding, University of Chicago Press, Utility, Visual system, Visualization (graphics), Water quality modelling, World Scientific.