The choice of exhaustive or heuristic search to solve AI problems

العناوين الأخرى

الاختيار ما بين البحث الشامل أو الاجتهادي لحل مشاكل الذكاء الاصطناعي

المؤلف

Qatsh, Dalya Abu Bakr

المصدر

Al-Mukhtar Journal of Sciences

العدد

المجلد 34، العدد 2 (30 يونيو/حزيران 2019)، ص ص. 91-104، 14ص.

الناشر

جامعة عمر المختار

تاريخ النشر

2019-06-30

دولة النشر

ليبيا

عدد الصفحات

14

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 102-103

رقم السجل

BIM-1324671