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