Every indexed document

objective empirical test for intermediate progress toward AGI be an infeasible

theory-independent measure of intermediate progress toward

except by having a lot of people try really hard over a long

there’s no way to tell which of these practical tests really can be

and be unsolvable by any system not far along

including identifying the coffee machine

then this implies a certain amount of progress toward human-level AGI based

via being judged exactly the same way a human student would)

but there are some fairly obvious candidates here. There’s the Turing Test (fooling judges

as well as control flow nodes containing operators like if else

MOSES learning covers both “knob twiddling” (setting

CogPrime’s primary algorithm for learning procedural knowledge

since we have not yet reviewed the details of either

and the PLN uncertain inference framework (see Chapter 34). The

via enabling estimation of the probability via simple similarity

according to which various cognitive processes

deduction can then attempt to incorporate these into its inference

according to the HebbianLinks constructed

each of which is associated with specific algorithms and structures

but then refined by inference and other processes). The assumed intelligent agent