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Ünite 5: Introduction To Computer Simulation And Historical Context — Kelime Bul

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

Computer Simulation (Narrow Sense) — A ••• program run on a digital ••• 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.

Analytic Methods — Mathematical techniques used to find exact, closed-form solutions to equations. When these ••• 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 ••• 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 ••• to qualify for the •••, 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 ••• generated by a simulation that targets a single exact outcome, such as calculating the precise coordinates of Mars on a specific future date.

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

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.

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.