Conceptual Cognitive Model for Human-Machine Social Contact and Emotion based Generated Behaviors

The development of a machine’s motivating factor is the focus of current scientific study on human-machine social interaction. These motives provide the machine important reasons to accomplish its objectives. Intrinsic motives create feelings in a person during any human-to-human social encounter, allowing that person to control and re-generate their conduct in accordance with the ongoing social exchange. "Theory of Mind" is a psychology term that refers to a person’s capacity to comprehend an adversary’s perspective and alter his or her behaviour accordingly. Such motivating robots are needed in the current human-machine social interaction because they may adjust their behaviour to maximise the value of their responses by observing the ambient emotions of the other person. This impression is optimistic for the machine’s embodied learning for its "Theory of Mind"-based social interaction. For a computer to create contextually based learning, the suggested study defines a conceptual cognitive model for the machine. By taking into account the emotions of the interactive human and using a recurrent tapping delay line neural network, the machine is able to control its own internal mental states.