Bayesianism can
coherently express what minds do, if first we accept that such things as minds
exist. Bayesianism can’t pin down in an infallible definition what a mind is. In
the rough Bayesian view, the mind is a program capable of data processing, manipulation,
and storage, running on a constantly active, probability-calculating platform
system, deciding second by second which applications to use and which files to
open, always aimed at prime objectives of self and species perpetuation. It
manifests itself in the material world, specifically in the chemistry of my
brain, whenever I physically see, hear, feel, smell, or taste a bunch of sense
data and then spot a pattern in them. Sometimes, in events around me, I even
see a new pattern and experience what is usually called a causal connection. This brain chemistry change is experienced
subjectively as an “Aha! moment.” It is a trait of life, and most especially, of
human life. No computer program, so far, can imitate it.
However,
Bayesianism does not pretend to say in any more precise detail what a mind is.
The human mind
is ultimately its own greatest mystery. Or rather, as nearly as minds can make
out, the mind is one of the most successful manifestations of that greater mystery,
life itself. It is an entity whose precursors are built into the human genome.
Once the basic neurological structure is built, once the baby is born, the
brain is stocked with cultural programming authored by the ancestors of that
human’s society. The being that results is driven by its very nature to seek a
healthy direction, from the molecular level on up to cells, organs, the
individual, her family, her society, and her species, to learn and grow. Why?
We don’t know. Life’s love of itself is an unanalyzable given.
A miracle, by
definition, is an event that seems incorrigibly to defy all rational and
empirical explanation. For us today, old-style miracles likely are over. But
the most amazing phenomenon that a modern human mind will ever encounter, but
never truly know, is itself. You are your own greatest wonder.
In furthering
our goal of constructing a moral code that is founded on our best understanding
of reality, these last three chapters have served only one purpose. They have
left us with a model of the mind—and what it does as it thinks and “knows”—called
Bayesianism.
The most
paralyzing confusion in my mind about how to best realize my prime directive
occurs when I am trying to decide between the preservation of myself and that
of others outside myself. Even deeper than our minds is the basic programming
of sex and reproduction. We’re built to love our kids, and since we want them
to survive so much, we learn to be motivated about the survival of our tribe.
Gradually, as we mature, we learn to expand this circle of moral consideration
to our nation. Our most interesting literature dramatizes situations that
portray heroes trying to sort through choices between their own survival and
that of their friends, families, or nations. We find them challenging and
fascinating. In such literature, we are seeking models to guide us through
possible future situations in which we may have to choose between saving
ourselves and saving our children, our nation, or our species. I, like all my
fellow humans, want to live. But I want my kids and my country and its way of
life to survive too.
Bayesian decision processes get confused in such dilemmas.
We feel this confusion as what we call “anxiety”.
Shakespeare’s Hamlet still holds the stage for exactly
this reason. Hamlet can’t see any point in this life of treachery in which the
bad succeed by being bad. But in the end, he realizes he is willing to die for
the restoring of order in his beloved country, Denmark. The rest he will leave
for God to sort out.
There
are, of course, no neat, simple answers to such questions, no unfailingly
reliable guides. Reality is uncertain, subtle, complex, and frightening. No
sets of programs we can devise will ever enable us to live in reality without
running into anxious challenges and rude surprises.
Still, the bottom line is
that reality is where we must live. Therefore, in our universe, it is sad but
true that a moderate but constant anxiety is the natural human condition.
Anxiety is the downside for us of surviving in the probabilistic real world. The
upside is freedom. If we are brave enough, we learn to relish life as
challenge.
As
far as this book is concerned, the important point to be made about Bayesianism
is that the Bayesian model of the human mind is the one on which this book is
founded. For each of the further points I argue in this book, I will try to
show that they currently appear to have the best odds of working in the future,
not that any one of them is irrefutably logical. To aim for logically irrefutable
conclusions is to violate the spirit of Bayesianism—and to waste one’s time. In
this life, any search for perfect confidence in any belief is either deluded or
doomed to cycle after cycle of circularity, frustration, and failure.
Therefore,
we must aim to adopt beliefs that, when they are used to construct arguments,
make our conclusions look increasingly probable the more we check those
conclusions against wider observations of physical evidence. Higher levels of
probability are what we want, probabilities that appear to keep climbing the
more of the real world we explore and successfully cognize.
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