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Contents - Konrad Lorenz Institute

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Vertical and Horizontal Learning<br />

as a system meant to increase the probability of immediate<br />

survival. Organisms responsive to information<br />

that would be potentially harmful or stimulating<br />

would be favoured over organisms with less<br />

well adapted monitoring capabilitites. This simple<br />

fact is crucial to the evolutionary invention of the<br />

learning system (CHURCHLAND 1986; DENNETT<br />

1996). For the implicit learning device to acknowledge<br />

and categorize encounters into harmful and<br />

productive recurrence of events are conditional.<br />

Monitoring seemingly neutral stimuli signaling<br />

the occurrence of either harmful or productive<br />

stimuli (central to almost all sorts of conditioning<br />

processes) increases the survival capacity. If an organism<br />

can anticipate events by monitoring cue<br />

signals, it is one step ahead of reality. Therefore<br />

context matters. In comparison, a learning device<br />

worked out to register information which is seldom<br />

repeated or barely had any consequences<br />

would be outcompeted and therefore not implemented<br />

in the gene pool of the generations to<br />

come. Learning systems focused on environmental<br />

regularities will tend to be sensitive to a broad<br />

range of stimuli, combining and storing different<br />

stimulus modalities to obtain as much information<br />

as possible. Incidently, this explains why implicit<br />

learning is applicable to all our senses. Being receptive<br />

to any event however insignificant, because of<br />

its predicitive powers is to focus on relations and<br />

interconnectivity of variables.<br />

The crux of the matter is as follows: Implicit<br />

learning capabilities emerged to monitor intricate<br />

patterns of information of survival value to the organism.<br />

To register relations and interdependency<br />

of stimuli is to learn about context. Hence, implicitly<br />

learned material retain context and becomes<br />

correspondently committed to specific learning<br />

situations to a greater extent.<br />

Explicit and implicit learning systems interpret<br />

the environment differently as regards detachment<br />

from context. Implicit learning relates to information<br />

as pieces in a jigsaw puzzle relate to the picture<br />

they represent. By using an implicit learning strategy<br />

one might not identify all relationships due to a<br />

number of pieces being missing, but one might still<br />

get a fairly good representation<br />

of the overall picture. On<br />

the contrary, using an explicit<br />

learning strategy corresponds<br />

to choosing a few significant<br />

pieces to get a general idea (by<br />

educated guesses) of the<br />

whole by disregarding a large<br />

Author’s address<br />

Theresa S. S. Schilhab, Learning Lab Denmark,<br />

Danish University of Education, Emdrupvej<br />

101, DK-2400 Copenhagen NV.<br />

Email: theresa@lld.dk<br />

amount of less significant pieces of information. In<br />

the explicit condition if one chooses pieces of sky,<br />

ground and corners the impression applies to a multitude<br />

of pictures. Whereas in the implicit condition<br />

the extra pieces of for example birds, houses and<br />

telephone poles fill in relations to determine this<br />

particular picture.<br />

Horizontal and Vertical Learning<br />

To summarise; implicit learning is adapted to monitor<br />

intricate patterns whereas the benefit of explicit<br />

learning is to abstract material from relations and<br />

contexts, to gather and store particular information<br />

in a universal format that can be applied in a new<br />

context. The independence of actual events makes<br />

the learned material mentally manageable which can<br />

eventually be passed on to other individuals.<br />

For any organism, the first priority is to stay alive.<br />

Hence abilities to divide immense amounts of information<br />

into essential (life preserving) and non essential<br />

(unimportant to life preservation) information<br />

will be aimed at stimuli that show some sort of<br />

repetition and form part of a recognizable pattern,<br />

specific to a learning incident. Disclosing structures<br />

that are vertically oriented becomes essential and<br />

results in the learning not being applicable to different<br />

contexts.<br />

On the other hand, the explicit learning system<br />

was developed on top of the implicit system, not as<br />

an alternative solution to replace implicit learning<br />

devices. Thus, explicit learning, that supplements an<br />

already well functioning implicit learning system, is<br />

adapted to obtain information irrespective of contextual<br />

relations. The explicit learning system can be applied<br />

to a wider range of information processing. For<br />

example, it has no need for stimuli to be constant or<br />

repetitive, in order to operate. In many instances,<br />

one exposure to a particular stimulus is sufficient for<br />

later storage. Because of being widely independent of<br />

context it can also be applied to different contextual<br />

settings which makes it horizontally oriented. Explicit<br />

learning capabilities (especially context independency)<br />

were beyond any doubt fundamental to<br />

the cultural progress of humans as viewed by advanced<br />

tool making (DAVID-<br />

SON/NOBLE 1993; NOBLE/<br />

DAVIDSON 1996). The superiority<br />

of human intelligence, in<br />

particular its versatility, is due<br />

to the sophistication of the explicit<br />

learning device (e.g.;<br />

BENNETT 1988, 1997).<br />

Evolution and Cognition ❘ 175 ❘ 2003, Vol. 9, No. 2

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