Meisam Azad-Manjiri

Work place: Department of Engineering, Faculty of computer, Hakim Sabzevari University, Sabzevar, Iran



Research Interests: Computational Learning Theory


Meisam Azad-Manjiri received the M.Sc. degree in software engineering (Artificial intelligence) from Isfahan University, in Iran. He is a lecturer in Hakim Sabzevari University of Iran. His interests are in Machine learning, Multi agent systems and Cognitive science.

Author Articles
A New Architecture for Making Moral Agents Based on C4.5 Decision Tree Algorithm

By Meisam Azad-Manjiri

DOI:, Pub. Date: 8 Apr. 2014

Regarding to the influence of robots in the various fields of life, the issue of trusting to them is important, especially when a robot deals with people directly. One of the possible ways to get this confidence is adding a moral dimension to the robots. Therefore, we present a new architecture in order to build moral agents that learn from demonstrations. This agent is based on Beauchamp and Childress’s principles of biomedical ethics (a type of deontological theory) and uses decision tree algorithm to abstract relationships between ethical principles and morality of actions. We apply this architecture to build an agent that provides guidance to health care workers faced with ethical dilemmas. Our results show that the agent is able to learn ethic well.

[...] Read more.
Other Articles