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One of the biggest challenges that artificial intelligence (AI) research isfacing in recent times is to develop algorithms and systems that are not onlygood at performing a specific intelligent task but also good at learning a verydiverse of skills somewhat like humans do. In other words, the goal is to beable to mimic biological evolution which has produced all the living species onthis planet and which seems to have no end to its creativity. The process ofintellectual discussions is also somewhat similar to biological evolution inthis regard and is responsible for many of the innovative discoveries andinventions that scientists and engineers have made in the past. In this paper,we present an information theoretic analogy between the process of discussionsand the molecular dynamics within a cell, showing that there is a commonprocess of information exchange at the heart of these two seemingly differentprocesses, which can perhaps help us in building AI systems capable ofopen-ended innovation. We also discuss the role of consciousness in thisprocess and present a framework for the development of open-ended AI systems.

Open-endedness in AI systems, cellular evolution and intellectual discussions