BIOPS first invokes a variant of Levin's universal search [22] (Levin attributes similar ideas to Adleman [24]). Universal search is a simple, asymptotically optimal [22,24,25,16,50], near-bias-optimal [38,40] way of solving a broad class of problems whose solutions can be quickly verified. It was originally described for universal Turing machines with unlimited storage [22]. In realistic settings, however, we have to introduce a recursive procedure [38,40] for time-optimal backtracking in program space to perform efficient storage management on realistic, limited computers.
Previous practical variants and extensions of universal search have been applied [33,35,47,38,40] to offline program search tasks where the program inputs are fixed such that the same program always produces the same results.
This is not the case
in the present online setting: the same proof technique
started at different times may yield different proofs,
as it may read parts of
(such as the inputs)
that change as the Gödel machine's life proceeds.
Nevertheless, we may apply a variant of universal search
to the space of proof-generating programs
as follows.
For convenience, let us first rename the storage writable by
proof techniques: we place
switchprog, proof, and all other proof technique-writable
storage cells in a common address space called
encoded
somewhere in
, with
-th component
.
To efficiently undo temp changes, we
introduce global Boolean
variables
(initially FALSE)
for all
.
In the method below we notationally suppress the task dependency
seen in Def. 2.1:
Make an empty stack called Stack. FOR all self-delimiting proof techniquessatisfying
DO:
None of the proof techniques can produce an incorrect proof,
due to the nature of the theorem-generating instructions from
Section 2.2.1.
A proof technique
can interrupt Method 2.1
only by invoking the instruction check() which may transfer
control to switchprog (which possibly
will delete or rewrite Method 2.1).
Clearly, since the initial
runs on the formalized hardware of the Gödel machine, and since proof techniques
tested by
can read
and other parts of
, they
can produce proofs concerning the (expected or worst-case)
performance of
itself.