Understanding AI Behavior: Learning and Decision Making in Artificial Intelligence

Authors

  • Gulfraz Naqvi
  • Waseem Subhani
  • Nageen Rana
  • Muhammad Ahmad

Keywords:

AI behavior, learning, decision making, Artificial Intelligence

Abstract

The research project focuses on understanding AI's learning mechanisms and decision-making processes, notably in the setting of bots. It also underlines the importance of balancing preprogrammed information with adaptive learning in AI systems, as well as the critical problem of privacy concerns related with AI usage. The project aims to uncover AI learning mechanisms, get insights into decision-making processes, and provide optimization methods. The study intends to contribute to the continued growth of artificial intelligence by making it more efficient and user-friendly while respecting ethical and privacy values. 

Published

2023-06-30

How to Cite

Gulfraz Naqvi, Waseem Subhani, Nageen Rana, & Muhammad Ahmad. (2023). Understanding AI Behavior: Learning and Decision Making in Artificial Intelligence. STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH, 5(1), 15-28. Retrieved from http://scir.wum.edu.pk/index.php/ojs/article/view/142