Regulation of Behaviors in Artificial Life using Ethical Models

Abstract

Socially assistive and collaborative robots are needed to be equipped with knowledge-based morality for safe human-robot interaction. Machine consciousness plays a significant role in establishing a firm relationship between humans and machines. Recently, human-robot interaction is increased significantly due to the impact of their conscious-like behavior. Human-like acts and interactions are required to have artificial general intelligence that is associated with artificial life. This association necessarily requires the involvement of metabolic parameters effect in robots. Moreover, the unification of machine ethics, artificial general intelligence, and artificial life have opened up new opportunities and possibilities. This has allowed the modeling of psychophysiological states along with other cognitive parameters in robots. Modeling of such association requires the modeling of metabolic parameters for artificial intelligence residing in a life-like agent. One of the challenges which are needed to be addressed raises when a robot decides its own goals based on its psychophysiological states. The problem may raise if the robot makes such decisions when may be right but have moral implications. Therefore, this will create a situation where the robot needs to find a way to accomplish its goal using ethical parameters. Ethical parameters, sometimes are not hard and fast rules. Some actions may be right or wrong in the certain context of social, cultural, and religious norms. Therefore, the robot needs to learn these dynamics and make the decision accordingly. This research intends to study and propose a model for ethical implication in the machine which possesses a certain level of cognition and motivational subsystem. This will require the utilization of a cognitive platform, to simulate various aspects of socio-cognition based on the agent's psychophysiological states, to perform various experiments. In this regard, Nature-inspired Humanoid Cognitive Architecture for Self-awareness and Consciousness (NiHA) will be used as such a platform to perform required experiments. We hope that the outcome of this research will help us to develop a better understanding of how to design and implement ethics-based safe artificial life