Further Developments in the Use of Artificial Intelligence Techniques which Formulate Simulation Problems

Research into computer systems to aid simulation model formulation has led to the construction of a natural language understanding system (N.L.U.S.). A description and short history of N.L.U.S.s leads into a discussion of the syntactic and semantic problems which have to be met. A classification scheme for N.L.U.S.s is proposed, and the simulation problem formulator described in this context.The N.L.U.S. simulation model formulator takes as input a sentence in English which conforms to a prescribed set of sentence structures. These restricted sentence structures resolve syntactic and semantic problems. The way in which the system accepts these sentences and organizes data structures based on them is outlined, along with the supporting error-handling mechanisms and editing facilities. A simulation model example is used to illustrate the flavour of the system by reference to complete interactive session listings.

[1]  William A. Woods,et al.  Progress in natural language understanding: an application to lunar geology , 1973, AFIPS National Computer Conference.

[2]  Gary G. Hendrix.  Lifer: a natural language interface facility , 1977, SGAR.

[3]  Ray J. Paul,et al.  CASM—The Right Environment for Simulation , 1986 .

[4]  Jean-François Grégoire.  Translating and the Computer , 1980 .

[5]  Terry Winograd,et al.  Understanding natural language , 1974 .

[6]  Margaret King,et al.  Design Characteristics of a Machine Translation System , 1981, IJCAI.

[7]  Robert F. Simmons,et al.  Generating English discourse from semantic networks , 1972, CACM.

[8]  Georgios I. Doukidis,et al.  Research into Expert Systems to Aid Simulation Model Formulation , 1985 .

[9]  W. N. Locke,et al.  Machine Translation of Languages , 1956 .

[10]  Austin Tate,et al.  Generating Project Networks , 1977, IJCAI.

[11]  Joseph Weizenbaum,et al.  and Machine , 1977 .

[12]  Bertram Raphael.  SIR: A COMPUTER PROGRAM FOR SEMANTIC INFORMATION RETRIEVAL , 1964 .

[13]  Daniel G. Bobrow,et al.  GUS, A Frame-Driven Dialog System , 1986, Artif. Intell..

[14]  Warren J. Plath.  REQUEST: A Natural Language Question-Answering System , 1976, IBM J. Res. Dev..

[15]  Daniel G. Bobrow,et al.  Natural Language Input for a Computer Problem Solving System , 1964 .

[16]  Terry Winograd,et al.  Computer Software for Working with Language. , 1984 .

[17]  Georgios I. Doukidis,et al.  ASPES: A Skeletal Pascal Expert System , 1987 .

[18]  Avron Barr,et al.  The Handbook of Artificial Intelligence , 1982 .

[19]  Alan T. Clementson.  Extended Control and Simulation Language , 1966, Comput. J..

[20]  Patrick Henry Winston,et al.  Natural Language Front Ends , 1986 .

[21]  Barr and Feigenbaum Edward A. Avron,et al.  The Handbook of Artificial Intelligence , 1981 .

[22]  Marvin Minsky,et al.  A framework for representing knowledge , 1974 .

[23]  Eugene Charniak.  Six Topics in Search of a Parser: An Overview of AI Language Research , 1981, IJCAI.