Simulation Classification

Introduction

Based on Previous Year's Exam

Explanation

1. Abstract: These simulations are highly simplified and often use theoretical constructs to explore basic principles or to illustrate concepts. They do not necessarily aim to represent real-world phenomena in detail but focus on understanding the underlying mechanisms.

2. Experimental: These simulations are used to test specific hypotheses or to explore the effects of varying certain parameters. They are designed to observe outcomes under controlled conditions and can include both theoretical and empirical elements.

3. Historical: These simulations aim to recreate past events or phenomena based on historical data and records. They focus on understanding and exploring historical processes and outcomes.

4. Empirical: These simulations are based on observed and measured data. They aim to closely replicate real-world phenomena and are validated against empirical evidence.

Outgoing relations

Incoming relations