Computer Simulation in Psychiatry

Naylor, Thomas H.

doi:10.1001/archpsyc.1966.01730150069011

Cited by 18 publications

(19 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Block programming languages offer an important abstraction level that allows the programmer to map objects from the real system to entities of the simulation in an almost transparent way, providing implicitly with each object a set of functions and facilities, which lets the programmer focus on designing the model and forget about implementation details (Naylor et al 1966, Dunna et al 2006. This is particularly useful when looking for quick solutions, since time savings achieved can be very significant and thus the required cost for modeling, simulating and experimenting with systems is considerably reduced.…”

Section: Introductionmentioning

confidence: 99%

“…Teaching in the area of simulations is always a challenge (Wildenberg 1981, Jones 1983, because this involves a huge amount of new concepts and complex methodologies; if we add a new block simulation programming language, which implies a new programming paradigm and a brand new way of thinking programs, the challenge is bigger yet, particularly if we are dealing with students who know programming very well but come from a background of procedural, object-oriented or functional programming languages and a different way of regarding models (Wankat andOreovic 1993, Morgan andJones 2001). General purpose simulation system (GPSS) 588 M. R.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation framework for teaching in modeling and simulation areas

Giusti

Lira

Villarreal

2008

European Journal of Engineering Education

View full text Add to dashboard Cite

Simulation is the process of executing a model that describes a system with enough detail; this model has its entities, an internal state, some input and output variables and a list of processes bound to these variables. Teaching a simulation language such as general purpose simulation system (GPSS) is always a challenge, because of the way it executes the models and the abstraction level it can achieve, very different compared with most well-known programming languages. This article presents an open source simulation framework that implements a subset of entities of GPSS, which could help students to improve the understanding of this language. This tool also stores all entities of simulations in every single simulation time, which is very useful for debugging simulations, but also for getting a detailed history of all entities in the simulations, knowing exactly how they have behaved in every simulation time.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation framework for teaching in modeling and simulation areas

Giusti

Lira

Villarreal

2008

European Journal of Engineering Education

View full text Add to dashboard Cite

show abstract

“…The present paper describes the results of several standard statistical tests run on this pseudorandom number generator.' There are many texts available that discuss the procedures for testing pseudorandom number generators (e .g., Hammersley & Handscomb, 1964;Knuth, 1969;Lehman, 1977;Naylor, Balintfy, Burdick, & Chu, 1968;Shreider, 1966).…”

mentioning

confidence: 99%

A statistical check of the DECsystem-10 FORTRAN pseudorandom number generator

Edgell

1979

Behavior Research Methods & Instrumentation

View full text Add to dashboard Cite

The pseudorandom number generator in the FORTRAN library (function RAN) of the DECsystem-10 was tested for the statistical properties of an independent uniform random number generator. Five statistical tests were employed: the frequency test, serial test, lagged product test, test of runs up and down, and test of runs above and below the mean. The generator passed all tests. It was concluded that it could be used in applications that require a sequence of uniformly distributed random numbers.

show abstract

“…In this study, data were obtained largely from the literature Adapted from Naylor, Balintfy, Burdick, and Chu, 1968. and were used to determine some of the mathematical relationships in the model and the ranges of the principal variables.…”

mentioning

confidence: 99%

A Random-Walk Simulation Model of Alluvial-Fan Deposition

Price¹

1976

Random Processes in Geology

View full text Add to dashboard Cite

Computer Simulation in Psychiatry

Cited by 18 publications

References 12 publications

Simulation framework for teaching in modeling and simulation areas

Simulation framework for teaching in modeling and simulation areas

A statistical check of the DECsystem-10 FORTRAN pseudorandom number generator

A Random-Walk Simulation Model of Alluvial-Fan Deposition

Contact Info

Product

Resources

About