1. SIMULATION SIMULAND PURPOSE TECHNIQUE CREDIBILITY PROGRAMMATICS
What is simulated
PURPOSE
Why it is simulated
Dewey Decimal system
TECHNIQUE
How it is simulated
CREDIBILITY
How much is simulated,
and How well
PROGRAMMATICS
How it is controlled
Scope
Physical Fidelity
Functional Fidelity
Quality
Technology
Management
October 2000

2. SIMULAND 000 Generalities 100 Philosophy & Psychology 110 Metaphysics
Epistemology, causation, humankind
Paranormal phenomena
Specific philosophical schools
Psychology
Logic
Ethics (Moral philosophy)
Ancient, medieval, Oriental philosophy
Modern Western Philosophy
Religion
Social sciences
General statistics
Political science
Economics
Law
Public Administration
Social services; association
Education
Commerce, communications, transport
Customs, etiquette, folklore
Language
Natural sciences & mathematics
Mathematics
Astronomy & allied sciences
Physics
Chemistry & allied sciences
Earth sciences
Paleontology Paleozoology
Life sciences
Botanical sciences
Zoological sciences
Technology (Applied sciences)
Medical sciences Medicine
Engineering & allied operations
Agriculture
Home economics & family living
Management & auxiliary services
Chemical engineering
Manufacturing
Manufacture for specific uses
Buildings
The arts
Literature & rhetoric
Geography & history
October 2000

3. PURPOSE
October 2000

4. TECHNIQUE SOLUTION METHOD EXECUTION CONTROL INTERFACING CLASSICAL
Inputs and Outputs
CLASSICAL
MATHEMATICS
SOFT COMPUTING
October 2000

5. CLASSICAL MATHEMATICS
Continuous
Discrete
Matrix Algebra
ODEs in space
PDEs in space only
Steady-State
Queuing
Theory
Initial value
numerical integration
ODEs in time
PDEs in time and space
Dynamic
Discrete
Event
Simulation
Deterministic versus Stochastic - a third dimension
ODE = Ordinary Differential Equation
PDE = Partial Differential Equation
October 2000

6. SOFT COMPUTING Fractals Dynamic Programming Game Theory Artificial
Intelligence
Fuzzy
Logic
Petri
Nets
Emergent
Behavior
SOFT COMPUTING
Neural
Nets
Human
Cognition
Knowledge
Based
Systems
Swarms
Logistic
Networks
Simulated
Annealing
Genetic
Algorithms
Decision
Trees
October 2000

7. EXECUTION CONTROL SINGLE RUN CONTINUOUS RUN STATISTICAL OPTIMIZATION
given a single set of
boundary conditions
and parameters,
as for analytical studies
CONTINUOUS RUN
as for man-in-the-loop
or hardware-in-the-loop,
usually in real time
STATISTICAL
generating
probability distributions
OPTIMIZATION
multiple runs,
maximizing or minimizing
a defined function
October 2000

8. INTERFACING Interface Hardware Ergonomics Graphical Tabular Batch
Distributed
INTERFACING
Local
HITL
Virtual
Reality
MITL
Human Factors
Real Time
Interactive
October 2000

9. PROGRAMMATICS TECHNOLOGY MANAGEMENT Computer Science
Software Engineering
Systems Engineering
Modeling
Data Structures
Production Tools
Verification and Validation
Planning
Cost and Schedule
Justification
Marketing
Configuration Management
Training
Staffing
October 2000

10. October 2000 SIMULATION PURPOSE SIMULAND Dewey Decimal Classification
Policy Experimentation
Feasibility Studies
Requirements
Gaming
Prototyping
Development
Engineering
Analysis
Design
Optimization
Sensitivity Analysis
Training
Test and Evaluation
Acquisition
Compliance
Production
Product Evaluation
Logistics
Education
Research
TECHNIQUE
CREDIBILITY
Scope
Physical Fidelity
Functional Fidelity
Quality
EXECUTION
CONTROL
INTERFACING
SOLUTION
METHOD
TBD
CLASSICAL
MATHEMATICS
SOFT COMPUTING
PROGRAMMATICS
TBD
Continuous
Discrete
Technology
Management
Matrix Algebra
ODEs in space
PDEs in space only
Queuing
Theory
Steady-State
Single Run
Continuous Run
Initial value
numerical integration
ODEs in time
PDEs in time and space
Discrete
Event
Simulation
Statistics
Optimization
Dynamic
Deterministic versus Stochastic - a third dimension
October 2000