A review of: “A FLEXIBLE EFFICIENT COMPUTER SYSTEM TO ANSWER HUMAN QUESTIONS The DL” Programming Language for Artificial Intelligence Applications John C. Comfort Birkh¨auser 1975 148 pages Paperback Fr./DM 24 ISBN 3-7643-0779-X

1977 ◽  
Vol 7 (1-2) ◽  
pp. 148-148
Author(s):  
G. Chroust
Keyword(s):  
Artificial Intelligence ◽  
Computer System ◽  
Programming Language

scholarly journals Rancang Bangun Sistem Pakar Diagnosa Penyakit Tanaman Stroberi Menggunakan Metode Certainty Factor Berbasis Web

Repositor ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Nina Mauliana Noor Fajriah ◽  
Yufis Azhar ◽  
Gita Indah Marthasari
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Computer Science ◽  
Programming Language ◽  
Disease Symptom ◽  
Certainty Factor ◽  
Factor Method ◽  
System Database ◽  
And Behavior

Expert system is one of the AI Development fields. AI (Artificial Intelligence) is part of a computer science which used the computer to imitate the human thoughts and behavior. The usage of a method in Expert System is very important. Thus, the most compatible method to use is the Certainty Factor method. This method is suitable to be used on Expert System to measure things and diagnosed it, will it be very sure or unsure. For example, Expert System to diagnose disease on strawberry plants. This software allows the user to diagnose the disease on strawberry plants before taking a further action. This software is using PHP programming language and store the data using MySQL system database. When the user consulting to the software, the software will show the symptoms of the disease and the user can choose the level of certainty from the chosen disease symptom. The final result from the software is a form which includes the guide of how to take the measurement of the disease based on the chosen symptoms.

scholarly journals Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

2021 ◽  
Vol 1 (4) ◽  
pp. 103-108
Author(s):  
Syahrizal Dwi Putra ◽  
M Bahrul Ulum ◽  
Diah Aryani
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Computer System ◽  
Decision Making Process ◽  
Certainty Factor ◽  
Uterine Myomas ◽  
Factor Method ◽  
Two Factors

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.

GAME-BASED LEARNING IN INTEGRATED DOMAINS WITH AN APPLICATION FOR STEAM CENTERS

2021 ◽  
Vol 12 (1) ◽  
pp. 209-214
Author(s):  
Stefani Paunova ◽  
◽  
Vilyana Doychevska ◽  
Valentin Yordanov ◽  
Stanimir Stoyanov ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Logic Programming ◽  
Programming Language ◽  
Research Program ◽  
Serious Games ◽  
Game Based Learning ◽  
Modeling Systems ◽  
National Research Program ◽  
Integrated Domains ◽  
The University

The article presents a game-based learning environment that is being deeloped as a component of the ATOS platform (the platform is an article described for the same conference). The proposed environment is an adaptation of a component for serious games, developed within two projects – the National Research Program „Intelligent Agriculture (2021-2024)“ and the university project „ViSCoD – environment for modeling systems for intelligent agriculture“. The opportunities for game-based learning in integrated domains (in this case intelligent agriculture – STEAM center) are demonstrated with a version of the well-known game „Twenty question game“, adapted for the Bulgarian flora. The system is fully implemented in the logic programming language Prolog and thus can also be used to teach students in the discipline „Artificial Intelligence“.

Recognition System Of The Al Qur’an Surah Al-Falaq Verse 1-5 Through Voice Using Ada-Boost

2021 ◽  
Vol 1 (3) ◽  
pp. 49-53
Author(s):  
Diauddin Ismail
Keyword(s):  
Everyday Life ◽  
Success Rate ◽  
Computer System ◽  
Programming Language ◽  
Computer Technology ◽  
Recognition System ◽  
Recorded Sound ◽  
Voice Classification ◽  
Sound Files

In everyday life, it is not uncommon when we hear the sound of chanting the holy verses of the Al Al Qur’an  which are read in mosques before prayer time or in other conditions we seem interested in knowing what Surah and which verse is being recited. This is due to the love of Muslims themselves for the Al Qur’an  but not all Muslims memorize the entire contents of the Al Qur’an . Based on the limitations and the magnitude of curiosity about Surah and Verse information, the writer is interested in developing a computer system that can recognize and provide information on the recited Surah and Verse. Advances in computer technology not only make it easier for humans to carry out activities. One of the human intelligences that are planted into computer technology is to recognize the verses of the Al Al Qur’an  Surah Al-Falaq through voice. Ada-Boost method is one method to identify or recognize voice classification, and by using this method the success rate in recognizing verse numbers reaches 72%. This system can only recognize the number of verses of the Al Al Qur’an  Surah Al-Falaq, recorded sound files with the .wav file extension and built using the Delphi programming language.

Theoretical Foundations of the Automatic Production and Processing of Technical Reports

1979 ◽  
Vol 9 (3) ◽  
pp. 239-269 ◽  
Author(s):  
Robert De Beaugrande
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Computer System ◽  
Recent Progress ◽  
Automatic Production ◽  
Reading And Writing ◽  
Artificial Intelligence Research ◽  
Theoretical Foundations

The following treatise surveys the issues and approaches for designing a computer system capable of reading, understanding, and writing technical reports. Recent progress in computer science and artificial intelligence research is used to specify the nature of the modules in the system. The processing of a sample text is observed during the phases of reading and writing a report on the origin of sunspots. The author advances some proposals for correlating syntax and semantics of English from a procedural standpoint. The discussion is illustrated with structural diagrams.

Musings on Technology and Learning Disabilities on the Occasion of the New Millennium

2000 ◽  
Vol 15 (2) ◽  
pp. 5-12 ◽  
Author(s):  
Rena B. Lewis
Keyword(s):  
Learning Disabilities ◽  
Computer System ◽  
Programming Language ◽  
State Of The Art ◽  
Disk Drive ◽  
Word Processor ◽  
Technology And Learning ◽  
New Millennium

Almost 30 years ago, I bought an IBM Selectric typewriter for about $500. I still use it occasionally and it works perfectly. Almost 20 years ago, I bought my first home microcomputer, an Apple II Plus, for about $5,000. The system included a monochrome Zenith monitor with an amber display, an Apple disk drive, and an Epson dot matrix printer, all state-of-the-art equipment. It also included a shift key modification so that both upper and lowercase letters would appear on the screen. The BASIC programming language was resident in ROM. I had to purchase software to run on the microcomputer, and my first purchase was the Apple Writer II word processor. This computer system is gone from my life; it's too old even to be stored with the “antiques” in the rafters of my garage.

Logic Programming in the Fifth Generation

1984 ◽  
Vol 1 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Robert Kowalski
Keyword(s):  
Artificial Intelligence ◽  
Logic Programming ◽  
Programming Language ◽  
Computer Systems ◽  
Database Systems ◽  
Computer Architectures ◽  
Multiprocessor Computer ◽  
Software Specification ◽  
Fifth Generation ◽  
Generation Computer

The Japanese Fifth Generation Computer Systems (FGCS) project has chosen logic programming for its core programming language. It has recognized the major contribution that logic programming has to make not only in artificial intelligence but in database systems and software specification as well. It has recognized and intends to exploit the greater potential that logic programming has to offer for taking advantage of the parallelism possible with innovative multiprocessor computer architectures.

Developing robot programming languages using an existing language as a base—A viewpoint

Robotica ◽  
1989 ◽  
Vol 7 (1) ◽  
pp. 71-77 ◽  
Author(s):  
S. T. Rock
Keyword(s):  
Artificial Intelligence ◽  
Programming Languages ◽  
Real Time ◽  
Programming Language ◽  
Robot Programming ◽  
Intelligent Robot ◽  
On Line

SUMMARYThe development of robot languages has followed a pattern similar to that of conventional programming languages, where robot languages have been based on an existing programming language. This paper first identifies the use of an existing base as one way of developing robot programming languages, and discusses the areas of difficulty in this approach. Then, on-line and off-line programming of robots is discussed and the requirements of robot programming languages that are different to those of non-specialised programming languages are presented. A discussion and evaluation of some programming languages in terms of their appropriateness for use as the base for an intelligent robot programming language is presented. This leads to the conclusion that no current language forms an adequate base for intelligent robot programming languages. What is needed as a base is a language for use in the artificial intelligence domain, that incorporates real-time facilities.

PROLOG

2011 ◽  
pp. 3147-3151
Author(s):  
Bernie Garrett
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Representation ◽  
Programming Language ◽  
Object Oriented ◽  
Declarative Language ◽  
Common Object ◽  
Computer Languages ◽  
The Past ◽  
Object Oriented Languages

Prolog is a logic based programming language, and was developed in the early 1970s and is a practical programming language particularly useful for knowledge representation and artificial intelligence (AI) applications. Prolog is different from many common computer languages in that it is not a procedural language (such as Basic, C, or Java). It is an interpreted logic based declarative language and as such has no loops, jumps, type declarations or arrays, and no fixed control constructs. In the past this has led to the impression that Prolog is a restricted language, useful only for highly specialized programming tasks by enthusiasts (Callear, 1994; Krzysztof, 1997). However, this is not the case and modern versions of Prolog are well equipped and versatile, and can be used for any programming task. The latest generations of the language (e.g., Visual Prolog) can also be integrated into more common object oriented languages.

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