We tested seven octopuses, Octopus vulgaris, in maze-learning experime
nts. They tried to reach the goal, so as to get a reward, by using var
ious locomotory actions in the path, and sometimes encountered obstacl
es. They came to select efficient swimming actions in the path; afterw
ards less efficient tactile actions (crawling, staying put, and so on:
these reduce the speed of movement) gradually increased, while time t
o detour around the obstacle was reduced. To investigate whether octop
uses reduce time spent detouring around obstacles by estimating their
actions in the path, we devised a trade-off situation in which octopus
es were obliged to use tactile actions wen though the set-up also enco
uraged them to use swimming actions. As a result, we could observe tha
t they reduced the detouring time. In that way, we experimentally cons
tituted a perspective as if octopuses looked around the whole maze and
estimated their actions. Such a perspective appeared to be autonomous
learning.