ACM Sigsim Simulation Digest最新文献

{"title":"Simulations of random divisions of an interval","authors":"C. O'Connor, A. Hook, Adel Said Elmaghraby","doi":"10.1145/62179.62181","DOIUrl":"https://doi.org/10.1145/62179.62181","url":null,"abstract":"This article describes the simulation results for the following random experiment. Fix a value for the parameter p, O<p<1. Let X<inf>1</inf> be a uniform random variable on the interval [L<inf>1</inf>, U<inf>1</inf>]=[0,1]. For n>2, define the random variables X<inf>n</inf> and the random intervals [L<inf>n</inf>, U<inf>n</inf>] by:[EQUATION]If X<inf>n-1</inf> < (L<inf>n-1</inf>+U<inf>n-1</inf>)/2, the intervals are constructed as above with the probabilities reversed.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133727185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Book review: TESS--the extended simulation support system by STANDRIDGE, CHARLES R. AND PRITSKER, A. A. B. (Halsted Press, New York, NY, 1987, 368 pp., $34.95, ISBN 0-470-20876-7)","authors":"Harry P. Mathis","doi":"10.1145/47874.1108790","DOIUrl":"https://doi.org/10.1145/47874.1108790","url":null,"abstract":"The Extended Simulation Support system (TESS) is a software package Pritsker & Associates has developed over the past ten years to assist engineers in structuring the tasks, such as collecting data, building models, executing simulations, analyzing outputs, and presenting results, required in a simulation project. TESS is heavily oriented towards graphical representations of systems and contains very powerful features that support this orientation. In addition to a language consisting of database processing statements, processing statements, session parametersetting statements, and function-element statements, TESS features the integration of SLAM II, MAP/1, and GPSS/H simulation languages. This book is intended to guide users of TESS in learning its features and how to apply them in creating and running system simulation models. It assumes that the reader already has expertise in formulating simulations and in using simulation languages. Chapter 1 provides an overview of TESS and its features. Chapter 2 describes the TESS language. Chapter 3 describes the general commands for assistance, graphicsrelated procedures, and establishing setup parameters. Chapter 4 describes the forms system, used to input data when building control, data, summary, rule, macro, and report formats. Chapters 5 through 9 describe TESS's \"builder\" subsystems: the icon builder, used when a model requires an icon not included in the 48 icons in TESS's icon library; the facility builder, used to construct diagrams of systems using icons; the rule builder, used to construct rules specifying animation actions, such as color, quantity, and location changes, that should occur as a result of information resulting from a simulation; the network builder, used for constructing SLAM II network models; and the format builder, used to specify the formats for graphs and reports. Chapters 10 through 12 describe the organization of the TESS database and the handling of input and output data. Chapter 13 describes how to graphically create and enter SLAM II networks. Chapter 14 describes scenario processing, which is typically a simulation run but may also be the collection of data for entering into the TESS database. Chapters 15 through 20 cover output: animation, report formats, presentation of data values and summaries, statistical analysis, and use of macros. Chapter 21 provides a complete example of the use of animation in modeling a transmission case manufacturing line. Chapters 22 and 23 are devoted to the details of the TESS library and database, respectively. Chapter 24 details operating system utilities and parameters for using TESS on the VAX/VMS system. There are a small number of references listed at the end of the book, primarily manuals for GPSS/H, MAP/1, and SLAM II and other publications by the authors. The book contains a large variety of examples and illustrations and is well organized and indexed. Combined with the availability of TESS software, this book should enable t","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129403730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The class kernel-models in DEVS-scheme: a hypercube architecture example","authors":"T. Kim, B. Zeigler","doi":"10.1145/47874.47875","DOIUrl":"https://doi.org/10.1145/47874.47875","url":null,"abstract":"DEVS-Scheme is a realization of DEVS (Discrete Event System Specification) formalism in a LISP-based, object-oriented environment, which supports hierarchical, modular specification of discrete event models. We describe the taxonomical organization of classes in DEVS-Scheme in which the hypercube-models class is described in detail. As an example, we illustrate specification of a hypercube model of a computer architecture. DEVS-Scheme represents a significant step toward implementing system-theoretic based formalisms and operations.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125819727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Object Oriented Simulation","authors":"P. Fishwick","doi":"10.1145/47874.1108791","DOIUrl":"https://doi.org/10.1145/47874.1108791","url":null,"abstract":"The words \"object\" and \"paradigm\" are widely used within existing computer science literature; however, when one speaks of \"object-oriented paradigm\" or \"object-oriented programming,\" one is referring to a methodology for algorithmic encoding using concepts of class hierarchy and inheritance. The idea of object-oriented methodology within simulation is to treat the algorithm as a set of objects. Procedures, often termed \"methods\" may be activated via object to object message transmission -- object A sends a message to another object B that might say, \"I am moving towards you at a rate of 20 meters/sec.\" Object B might then respond to this incoming message by sending messages of its own to other objects within the simulation. Methods are stored \"within\" an object's frame or definition.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116876112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and implementation in object-oriented simulation","authors":"J. Bézivin","doi":"10.1145/47874.47877","DOIUrl":"https://doi.org/10.1145/47874.47877","url":null,"abstract":"This document intends to emphasize some important issues about the required qualities of simulation software. It will be argued firstly that the need for readability is much more important for simulation programs than for general software and secondly that the need for high efficiency is rapidly increasing. We shall then discuss how the object-oriented paradigm may help to meet these mutually dependent requirements in various ways.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131817865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge-based simulation at RAND","authors":"J. Rothenberg","doi":"10.1145/47874.47878","DOIUrl":"https://doi.org/10.1145/47874.47878","url":null,"abstract":"The current object-oriented simulation paradigm is a powerful discrete-state modeling technique that allows modelers to encapsulate the definitions of objects while allowing users to view models at meaningful levels. Yet object-oriented simulation has many limitations, notably its inability to answer questions that go beyond the \"What if...?\" analysis that is the traditional domain of simulation. The following describes ongoing research by the Knowledge-Based Simulation project (KBSim) at RAND to extend object-oriented simulation in fundamental ways.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133119292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tactical simulation in an object-oriented animated graphics environment","authors":"Mikel D. Petty, J. M. Moshell, C. Hughes","doi":"10.1145/47874.47876","DOIUrl":"https://doi.org/10.1145/47874.47876","url":null,"abstract":"Action Graphics (AG) combines the ideas of animated graphics, free-form spreadsheets and object-oriented programming to produce a problem solving and simulation environment.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130957220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A deterministic prediction model for the American game of football","authors":"John A. Trono","doi":"10.1145/47968.47970","DOIUrl":"https://doi.org/10.1145/47968.47970","url":null,"abstract":"This article describes a simulation model of the sport known as football. It was created to predict results of post season football games, most notably college bowl games. By constructing a totally deterministic model of the game, one in which there are no random events, and by using data that is directly accessible to represent the participants, an objective prediction can be reached. The remainder of this paper is divided as follows: Section 2 discusses more about the model's internal workings; Section 3 describes the all-important play selection strategy; Section 4 presents the results collected for verifying the model's accuracy; and finally Section 5 presents some observations and shortcomings of the model along with possible directions for further investigation.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129351392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determination of technical support requirements of an office automation system","authors":"E. Williams","doi":"10.1145/47968.47971","DOIUrl":"https://doi.org/10.1145/47968.47971","url":null,"abstract":"The Body &amp; Chassis Engineering Department of Ford Motor Company recently formulated plans for greatly increasing (from 155 to 476) the number of Fortune engineering-workstation computers. This increase represents a vital step in the implementation of an office automation system. Systems-analysis personnel of the Department used discrete simulation as a tool to quantify the impact of this increase on the workload of technical support personnel. In turn, Department management used the results of these simulations to formulate a hiring plan consistent with the planned rate of terminal acquisition.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128439480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A case study in computational science","authors":"J. S. Fulda","doi":"10.1145/47968.47969","DOIUrl":"https://doi.org/10.1145/47968.47969","url":null,"abstract":"The purpose of this paper is to present the close relationship between mathematical modeling and computer simulation as a paradigm of computational science, by reviewing a case study in mathematical biology.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122743342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}