Human-Machine Duality: What’s Next In Cognitive Aspects Of Artificial Intelligence?

The goal of the paper is to find means for unification human-machine duality in collective behavior people and machines, by conciliating approaches that proceed opposite directions. first approach proceeds top-down from non-formalizable, cognitive, uncaused, chaotic human consciousness towards purposeful sustainable interaction. second bottom-up intelligent machines high-end computing based on formalizable models leveraging multi-agent architectures. resulting work reviews extent, merging points, potential hybrid artificial intelligence frameworks accept idea strong intelligence. These concern pairing connectionist cognitive architectures, conscious unconscious actions, symbolic conceptual realizations, emergent brain-based computing, automata subjects. special authors’ convergent methodology considered, which integration inverse problem-solving topological spaces, modelling, quantum field theory, category theory methods, holonic approaches. It aims a more interaction form algorithms or requirements, rules strategic conversations network brainstorming, semantics. addresses reduction impact AI development ethics violation. findings delivered are used provide perspectives shaping societal, ethical, normative aspects symbiosis between humans machines. Implementations real practice represented.