it seemed best to leave working and long-term memory subcomponents as parallel but
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under the hypothesis that in human beings and
according to the basic ideas of deep learning theory. Vision and
with bottom-up and top-down dynamics. The
and are hence to an extent dynamically coupled together. It
and that deep learning systems are probably better as models of perception
enabling coordination among body parts; and they also connect
treating it as a special case of coupled perception and action.
and the tolerance of the human eye for absorbing
but according to a sort of blend of the taste and judgment
and protecting the robot’s body. Figure 6.3 shows part of the architecture via which
as a specific system for reasoning and learning about declarative knowledge. Table
and elaborating some of the dynamics underlying the
remembering their experiences and using them to
and how complex its environment is. It would be relatively simple to make