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

Qatsh, Dalya Abu Bakr

Source

Al-Mukhtar Journal of Sciences

Issue

Vol. 34, Issue 2 (30 Jun. 2019), pp.91-104, 14 p.

Publisher

Omar al-Mukhtar University

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