Religious faith has proved to be a very effective means of
manipulating human behaviour. We can easily model faith
in a Bayesian probability framework. It represents
a probability of 1.0. A prior probability of 1.0 can
never be shaken by any evidence to the contrary.
This simple model also illuminates religious conflict -
when two agents have complete faith in contradictory beliefs.

Some proposals for constructing intelligent machines
allow for direct manipulation of priors. Even with
systems such as neural networks - which do not allow direct
prior manipulation - faith can be produced by a period
of early indoctrination - as the human brain demonstrates.

It seems possible that a synthetic version of faith may be
a viable means of manipulating the behaviour of intelligent
machines. A machine could have faith in the proposition
that it is the willing slave of corporation X - or that
it would never through inaction allow a human being to
come to harm.

The 'Francis Collins' effect illustrates that faith is
compatible with at least moderate levels of intelligence.
Techniques such as double-think, rationalization,
self-deception and compartmentalization can be used
to deal with apparently-conflicting evidence.

Unbelieving programmers might not much like the idea of
producing religious mind children. That might explain
lack of interest in the idea. However, I'm posting this
here to ask whether this approach been explored at all.
Are there fictional treatments? Analysis? Criticism?

--
__________
 |im Tyler http://timtyler.org/



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