  Science is a constructed narrative of the natural world based on information
gathering and its subsequent analysis. In this essay, we develop a novel
approach to the epistemic foundations of the scientific narrative, as based on
our experiential interactions with the natural world. We first review some of
the basic aspects of both Bayesian statistics and Shannon's information theory
as applied to the construction of meaningful conceptualization of the natural
world. This conceptualization is rendered through the maps we construct of the
world based on our limited knowledge of reality. We propose a path from
experience to information and physics based on the notion that information is
experience that induces change in an Epistemic Agent (EA): the change may be
local and focused to a minor aspect of reality or it may be broad and
worldview-changing. We illustrate our approach through an analysis of a measure
of spatial complexity proposed by one of us called Configuration Entropy (CE),
and establish a link between experience at the cognitive level and information
content, showing that the CE is a quantitative measure of how much information
in spatial-complexity the external world hides from an EA.
