Architectures used in Artificial Cognitive Systems for Embodiment

Abstract

Systems integrated with the power of artificial Intelligence and embodied in real environments are having the power of operating autonomously and is capable of performing real-time activities with emotional intelligence. Such systems are simply known as artificial cognitive systems embodied in real environments. These systems are capable of taking sensory inputs process them and act in the environment with cognitive capabilities. The cognitive capabilities of these systems are totally dependent on the architecture adopted in these systems. These cognitive architectures provide an abstract perception model for these cognitive systems. These cognitive architectures are inspired by how physical systems operates autonomously by the combination of brain, mind and body combination thus obligating the necessity of investigating system embodiment considering physical computational properties as well as non-representational properties. Hence this paper investigates the existing architectures for embodiment. It is noted that achieving complete embodiment of systems on par with humans poses a research challenge and is being extensively investigated. Through the literature review it is identified that the use of emergent architectures combined with hybrid approaches as a feasible way of achieving embodiment in artificial cognitive systems.