(March 23, 2016 at 1:50 pm)Ben Davis Wrote:(March 23, 2016 at 11:17 am)Mathilda Wrote: If you want to include the type of intelligence that can catch a ball, plan moves ahead, predict something occurring, recall a tune or learn a dance step then yes.
In terms of AI I'd argue that this is what makes an autonomous agent intelligent rather than a stimulus / response unit.
I was going to say that counts more as heuristic capability than intelligence; I'd always considered heuristics as a property of intelligence rather than a category. Since you say there are practical examples in AI research, I'd love to hear the reasoning as to why it's a causal measure rather than an emergent property.
Could you explain what you mean by describing it as a heuristic capability rather than intelligence? Surely any heuristics would either be evolved or learned through intelligence?
I think debating whether it's a causal measure rather than an emergent property sends us down a never ending rabbit hole of definitions and am not sure why the distinction needs to be made.
Most AI research shies away from adapting to sequences because the search space explodes exponentially. Just talking about temporal sequence learning is a very vague term in itself, which is what I tried to get across with all the examples I gave. You do get a few examples in the literature though but they are limited in scope and application.
