Young Scientist
Dr. Mitul Kumar Ahirwal
Assistant Professor
Maulana Azad National Institute of Technology, Bhopal (M.P.)
INDIA
Human decision-making (HDM) is a combination of various cognitive process, hence it is very difficult to model the process of HDM. Addition to this, different human factors affects decisions making (DM) process. Few of the well-known human factors are past experiences, emotions, times factors, and uncertainty. These factors are considered in the development computational model of HDM with the help reinforcement learning (RL). Iowa gambling Task (IGT) has been used for data collection. Final model consist of prospect utility, decay RL, and trial dependency choice rule (called as PU-DRI-TDC Model). The performance of developed model depends on several parameter like α, λ and C. For tuning of these parameters, metaheuristic optimization algorithm like Jaya and Real Coded Genetic Algorithm has been used. Mean Square Deviation (MSD) value is used to evaluate the model performance.