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There appear to be two approaches to constructing agents in NSAI: they are either INTERESTING AGENTS or ARCHIECTURE/MECHANISM AGENTS.
Interesting Agents
Interesting agents are viewed in two ways. ...
Interesting Agents: completeness
The completeness component is divided into 4 sub-components:
#1) Embodied
#2) Autonomous
(no supervision)
#3) Self-sufficient
(feeding) (energy) (self-repair) (Like that turtle robot that was attracted to
light, in order to charge. ... : All biological interesting agents are situated: however, you never appreciate the complexity of situateness unless you try it - you always under-appreciate the amount of noise that the environment produces.
Interesting Agents: environmental niche. ...
This is comparable with Symbolic AI You always have a central model or database.
Approximate Word count = 517
Approximate Pages = 2.1
(250 words per page double spaced)
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