Original Post
Hi.
I''ve just started my Ph.D in Computer Science (specifically the fields of graphics and AI), and after researching for going on 4 months now I''ve narrowed the focus of my research to have a long term goal of being able to reproduce stone age behavior in software (i.e before the advent of language to communicate).
My supervisor (himself a doctor in AI) has advised me to be very ambitious and try to eventually create an ''Intelligent'' Agent in a virtual environment that has the ''strong'' agent qualities of rationality, learning, goal-orientedness etc.
In his own words :
i.e. the goal is to develop an I.A. that "thinks about" and reacts to its environment similar to humans. Then how does changing
that environment change its behaviour? i.e. you could have it
require food, clothing and shelter etc
Now I''ve been reading a lot into emergent behavior, genetic algorithms, neural nets, fuzzy logic and so forth - but my main problem is that I can''t decide which style of AI representation(s) I should focus on first. Perhaps none of the above could really be used to develop so called ''strong'' agent qualities...or perhaps using them in conjunction could yield better results?
I was just wondering if you guys had any comments, suggestions or recommendations for me as I start out on the long journey towards being a doctor!
Any help would be great.
Cheers,
SFA.