login::  password::




cwbe coordinatez:
101
63533
642373
2326477
8241451

ABSOLUT
KYBERIA
permissions
you: r,
system: public
net: yes

neurons

stats|by_visit|by_K
source
tiamat
commanders
polls

total descendants::0
total children::0
show[ 2 | 3] flat


Cognitive architectures are a part of research in general AI, which began in the 1950s with the goal of
creating programs that could reason about problems across different domains, develop insights, adapt to
new situations and reflect on themselves. Similarly, the ultimate goal of research in cognitive architectures
is to achieve human-level artificial intelligence. According to Russell and Norvig [2] such artificial
intelligence may be realized in four different ways: systems that think like humans, systems that think
rationally, systems that act like humans, and systems that act rationally. The existing cognitive architectures
have explored all four possibilities. For instance, human-like thought is pursued by the architectures
stemming from cognitive modeling. In this case, the errors made by an intelligent system are tolerated as
long as they match errors typically made by people in similar situations. This is in contrast to rationally
thinking systems which are required to produce consistent and correct conclusions for arbitrary tasks. A
similar distinction is made for machines that act like humans or act rationally. Machines in either of these
groups are not expected to think like humans, only their actions or behavior is taken into account.

https://arxiv.org/pdf/1610.08602v1.pdf