In real-world implementations artificial agents fall short in terms of spatial and temporal awareness, awareness about self and others, and decision-making abilities. Through CAVAA, the consortium plans to generate artificial awareness by interfacing a cognitive architecture agents with the propensity of reasoning, decision-making, or revisiting past experiences and reflecting upon what was right or wrong.
The international consortium will follow a structured 4-year plan to achieve the step toward AI awareness. CAVAA will elaborate an underlying theoretical framework of awareness and express it as cognitive architecture that aims to provide an important contribution towards the explanation of awareness in a biological system and to engineer it in technological agents that collect and store experiences while interacting with the exterior world. This will be achieved by building upon a well-recognized, tested Distributed Adaptive Control (DAC) architecture. A new virtualization layer will be added to represent potential states of the world and the self, entirely decoupled from immediate sensory states, compressed into a single unified awareness state, and its top-down control over memory, valuation, and creativity.
Can AI have awareness? Will machines be able to evaluate the external context and implementing appropriate action plans? CAVAA can be a revelation and help solve age-old questions about AI awareness.