The
mind: A modular human mind
A key tenet of evolutionary psychology
is that the human mind at
birth is not a tabula rasa ie
a
blank slate (tabula rasa is a concept first introduced by 18th century
Scottish
enlightenment philospher, John Locke. ).
John
Locke
|
The mind is a
tabula rasa |
Instead as Jerry Fodor in 1983 proposed in his
book “The modularity of
mind”, that humans are born with
a
modular mind, which is
collectively comprised of special neural structures known as modules
(Osaka, 2003, p.70). From the moment we are born, these modules
collectively constrain and shape how we perceive and interact with
the physical and human world (plus how we characteristically function
and
behave as human beings) (Bjorklund, 2003, p. 837)
So
what are these modules?
Modules
are
neural
structures comprised of organised connections of brain neurons that
“determine how the brain processes information” (Cosmides &
Tooby, 1997). Each module metaphorically contains an algorithm (ie a
set of instructions, or “rules”, or a “computer program”)
that that enable it to perform a domain-specific function such
as interpreting visual information (ie eyesight), auditory
information (hearing) and emotions (Langs,1996,p.103). Furthermore
each module functions as an independent domain-specific
“computational unit” (Osaka, 2003, p.70).
How are these
domain-specific modules structured?
There are 2 fundamental aspects to the
structure of modules:
1.)
Informational encapsulation.
Each
module is a self-contained computational unit together with its own
algorithms and
knowledge database (which it draws upon to process domain-specific
information). It is also unable to draw
upon the algorithms of other modules nor is any other module able to
conversely draw upon its own algorithms. For example the
face-detection module does not have access the algorithm/rules from the
mate-selection module.
2.
Domain specifity
Each
module is only
activated only when it receives inputs that are relevant to the
adaptive problems associated
with its specific domain e.g. face-detection. For example the
face-detection module will only be
activated when a person receives visual input (from a
visual-processing module) that suggests a familiar face. (Evans &
Zarate, 1999, pp. 148-149;
Cosmides & Tooby, 1997)
Continued
1, 2,
3, 4,
5, 6.