Unifying artificial cognition and hardware innovation for hyper-connected electronics infrastructure
Synopsis
This chapter aims to explore how and to what extent Artificial Cognition can and is being unified with Hardware Innovation, aiming the highest level of performance in Artificial Cognitive Systems, by consolidating a synergetic realm, through the hybridization of their interplay design tasks. Artificial Cognitive Systems, while inspired by Human Cognition, incorporate a segregative approach in their operation modes, thus their Artificial Cognition and Hardware components and results have a suboptimal level of performance, pending advancements that solve inherent, existing limitations. In the presented essay, we advance a working hypothesis: by realigning the design of Artificial Cognition and Hardware subtasks of Artificial Cognitive Systems, by aiming their integrated system level performance, updating and complementing cognitive tasks, requirements and limitations for Artificial Cognition and Hardware, that motivated and define current Artificial Cognitive Systems designs, and implementing within experimental setups implementations and testbeds, new solutions may come into the light that boost the overall level of performance of Artificial Cognitive Systems