The choice of exhaustive or heuristic search to solve AI problems
Other Title(s)
الاختيار ما بين البحث الشامل أو الاجتهادي لحل مشاكل الذكاء الاصطناعي
Author
Source
Al-Mukhtar Journal of Sciences
Issue
Vol. 34, Issue 2 (30 Jun. 2019), pp.91-104, 14 p.
Publisher
Publication Date
2019-06-30
Country of Publication
Libya
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Artificial intelligence is an appealing area of research in computer science because it is concerned with the discovering of effective techniques that have been mainly motivated from human beings or their living environments to solve problems that have special nature.
In this research, we aim first to introduce and analyze the common characteristics of problems that artificial intelligence interested in, and then we will highlight how to prepare such problems to solve them by search.
The main goal of our study is helping us to decide which search strategy is better through investigating the behavior of most popular search strategies to find out the desired solution for two examples of a simple artificial intelligence problem.
Our experiments presented that the required time and memory space to solve the problem mainly affected by many factors such as the applied search mechanism, the solution position, the number of available solutions, and the complexity in search.
American Psychological Association (APA)
Qatsh, Dalya Abu Bakr. 2019. The choice of exhaustive or heuristic search to solve AI problems. Al-Mukhtar Journal of Sciences،Vol. 34, no. 2, pp.91-104.
https://search.emarefa.net/detail/BIM-1324671
Modern Language Association (MLA)
Qatsh, Dalya Abu Bakr. The choice of exhaustive or heuristic search to solve AI problems. Al-Mukhtar Journal of Sciences Vol. 34, no. 2 (2019), pp.91-104.
https://search.emarefa.net/detail/BIM-1324671
American Medical Association (AMA)
Qatsh, Dalya Abu Bakr. The choice of exhaustive or heuristic search to solve AI problems. Al-Mukhtar Journal of Sciences. 2019. Vol. 34, no. 2, pp.91-104.
https://search.emarefa.net/detail/BIM-1324671
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 102-103
Record ID
BIM-1324671