Author/Authors :
R. Seyedaghaee، Naghi نويسنده Department of Computer Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran , , Rahati Quchani، Saeed نويسنده Department of Computer, Mashhad Branch, Islamic Azad University, Mashhad, Iran , , Alinejad-Rokny، Hamid نويسنده School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia , , Kargar، Mohammad Hosein نويسنده Department of Computer Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran , , Rouhinezhad، Fatemeh نويسنده Department of Computer Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran ,
Abstract :
Nowadays, computers play an essential role both in life and performing tasks. Machine learning is a technique usually means a computer program that provides the learning ability, and in intelligent systems means an agent can use its previous experience to improve its task. This paper formulates the strategic planning as a reinforcement learning problem and then solves it. It considers the similarities between strategic planning and reinforcement learning and formulates the strategic planning as a reinforcement learning problem, and solves it by using reinforcement learning methods. Also, we use available data and recommended method to strategic planning design for Noshahr-Chaloos Branch, Islamic Azad University of Iran (Noshahr-Chaloos IAU). The results show that the general strategic position of the university placed in compositional strategies. Also the results show although using intelligent methods to computerize the strategic planning is on the beginning of its long path but have a very clear future.
