12/24

11/24

we were dissociatively on fence between two hard algorithm touching tasks, and one appears more inhibited so trying to write a little

we were thinking of making a smarty maze solver, like take general ai goal and then put near simple algorithm goal. there was a space where it worked out.

maze solvers are classically an agent that tries moving in all directions, tracking where it has been so as to not repeat ground. one approach is to draw maze on a buffer like the screen in a handfull of colors, e.g. EMPTY and WALL and fill in EXPLORING along EMPTY until hit dead end of WALL then backtrack replacing EXPLORING with EXPLORED until find more EMPTY. very simple algorithm, finds exit by brute force.

but is more interesting to make a combine-parts-to-accomplish-task doer, because of executive functioning and goal pursuing inhibitions.

so maybe we could consider holding a GOAL of the AGENT being at the EXIT, but the agent starts at the ENTRANCE

ideally we might need RULES of the maze system so that a path or sequence of STEPS can be derived from then GOAL

these RULES could be based on discrete or rational logic to form knowledge or probabilities or metrics

it’s reasonable to imagine spatialness, for example, many rules, or storing a map or list of options, but it can also make it hard to stabilize (((sadly we realized the basic maze algorithm is itself too complex when written :( :( it felt much simpler when imagined. (((maybe a small p—?

but we always like the idea of iterating combinations of available steps, judging them with metrics and logic, and performing them to meet goals successfully

because this is _so_ inhibited in us that we would _love_ to have an external system demonstrating that basic logical goal-meeting can succeed reliably !!!