Ana Sayfa » Ankara Üniversitesi ANKADEM » Mühendislik Fakültesi » Computer Simulation and Modelling

Ünite 5: Introduction To Computer Simulation And Historical Context — Kavram Eşleştirme

Tur 1 / 40 / 5 eşleşti

Önce bir kavram seç, sonra karşılığı olan tanıma dokun.

Kavramlar

Tanımlar

Yukarıdan bir kavram seç.

Computer Simulation (Narrow Sense) — A computer program run on a digital computer that utilizes step-by-step computational methods to explore the approximate behavior of a mathematical model. This is typically used to represent real-world or hypothetical systems.

Computer Simulation (Broad Sense) — A comprehensive, multi-stage scientific process that encompasses choosing a model, implementing it as a computer-runnable algorithm, calculating the outputs, and visualizing the resulting data.

Analytic Methods — Mathematical techniques used to find exact, closed-form solutions to equations. When these methods are unavailable or practically impossible to use, scientists turn to computer simulations to find approximate solutions.

Rules of Evolution — Algorithmic instructions or logical guidelines that dictate how a system's state changes step-by-step over time. These are often implemented in simulations when a model consists of discrete rules rather than continuous differential equations.

Simulation (Compositional Definition) — Any system that is believed or hoped to possess dynamical behavior similar enough to another target system that the former can be studied to acquire knowledge about the latter.

Process (Hartmann's Definition) — An object or system whose physical or abstract state changes continuously or discretely over time, serving as the foundational element that is imitated during a simulation.

Core Simulation — A concrete computational device that produces, via a temporal process, solutions to a computational model that correctly represents a target object or process either dynamically or statically.

Success Term — A linguistic or philosophical definition that requires an action or process to be executed correctly or successfully to qualify for the term, such as Humphreys' requirement that a simulation must 'correctly' represent its target.

Heuristic Purpose — The use of simulations to discover new ideas, explore the features of possible representational structures, or communicate complex scientific knowledge to others, such as in classroom visualizations.

Point Prediction — A highly precise, specific prediction generated by a simulation that targets a single exact outcome, such as calculating the precise coordinates of Mars on a specific future date.

Qualitative Prediction — A systemic or global prediction that focuses on the overall behavior, stability, or emerging patterns of a system rather than specific numerical coordinates, such as determining if a planetary orbit is stable.

Range Prediction — A probabilistic prediction that forecasts outcomes within a specific bracket of likelihood, commonly used in climate science to estimate temperature increases or sea-level rises.

In Silico Experiment — An experimental study conducted entirely on a computer via simulation, allowing scientists to test hypothetical interventions and collect data that would be impossible or impractical to gather physically.

Retrodiction — The use of a simulation or mathematical model to reconstruct, explain, or predict past events and data based on known physical laws and initial conditions.

Identity Thesis — The philosophical assertion that computer simulation studies are literally and physically instances of scientific experiments, sharing the same epistemic status.

Epistemological Dependence Thesis — The philosophical view that simulations can only provide valid warrants for believing in scientific hypotheses if they are shown to be equivalent to actual physical experiments.

Chaos Theory — A scientific discipline studying highly sensitive, non-linear dynamical systems whose very existence and development emerged alongside the rise of computer simulation models.

Wet Laboratory — A traditional physical laboratory where biological, chemical, or physical experiments are conducted with real materials, often contrasted with 'in silico' computer simulations.