Chess Game Therapy to Improve the Mental Ability of Dementia‘s Patients using AI Virtual Assistant

Dementia is a term used to describe cognitive decline sufficiently severe to cause problems with daily functioning, such as remembrance, language, real concern, and other brain abilities. This research looks into how to treat them with game therapy. In game therapy, the counsellor encourages the client to identify personal history that may have had an influence on the current circumstance, primarily through play but also through words, in a way that is consistent with the impacted role. Because it can help people communicate, uncover hidden ideas and feelings, confront unresolved trauma, and experience personal growth, game therapy is widely regarded as an important, effective, and developmentally appropriate mental health treatment. Here the environment is created by using a minified chess game with an Artificial Intelligence (AI) Virtual Assistant to assist the player (patient) in teaching the game and stimulating their cognitive skills. In order to prevent short-term oscillations from a moving target, the agent is trained using Deep Q-Learning Network (DQN) methods for reinforcement learning. With a replay memory, Given that it takes into account the unpredictability that would come from online learning, the first method more closely approaches a supervised learning issue. The goal of this Virtual AI agent is to only assist the player. It will not help the patient in winning the games, but rather to help the patient to learn chess faster and stimulate the cognitive ability. The agent is programmed to assist the patient in two ways, either to take an attacking approach or to play-safe. This agent will also provide more information on why the move was suggested or warned. Thus, by making the patient more involved in the game and resulting in an improvement in cognitive ability of the patient.