Many of the conclusions merely identify questions we need to answer
that we have not yet answered -- some of which have not even been
noticed by most researchers.
We need deeper and more comprehensive knowledge of what the problems are:
what needs to be explained, what we cannot yet model, replicate, explain, or
even list, e.g. huge, unnoticed gaps in our knowledge about:
-- functions of vision (e.g. in online and offline intelligence).
-- roles of proto-mathematical capabilities in children and other animals
e.g. geometry, topology, ...
-- how and why human language evolved, and what the pre-cursors were,
-- -- Don't assume the only languages are external -- rich internal languages
-- -- Probably came first.
-- what varieties of affective states and processes can occur (motives, desires, pleasures, pains, hopes, fears, ambitions, regret, dismay, triumph, grief, jealousy, anger, compassion, loyalty to family, to friends, to school, to neighbours, to country, to ancestors, ... , being torn by conflict, delighted anticipation, apprehensive anticipation, anticipation full of dread...)
-- what it is to find something funny,
-- why and how the ability to find things funny evolved,
-- what sorts of mechanisms make artistic enjoyment, artistic creativity, possible,
-- which abilities develop when in children, and why.
-- How cognition can be culture-dependent,
-- what different species can and cannot do and why?
School of Computer Science
The University of Birmingham