There can be several types of record keeping required regarding “Universal Management System”. It can be divided in to two main subjects Quantitative and Qualitative Records. (it might be possible that at a certain level both have some but same unique mechanism). Observations can be find in the known phenomenon about/among different constituents in “Universal Management System” which may indicated that at least for smooth running it’s vital to get/make Record of position and place, Record of carried/issued energy, Record of distance and angle with others to avoid “unwanted” collision, Record for “guided map” of route of movement, speed, carried energy, side of spinning movement, Record of voluntarily actions of system as according to the in-bound intelligence level of system needed for cope up the arising situation, Record for Involunteer actions of a system as according to “given-guided Approach”, Record of all inputs and all out puts by systems etc etc. Kindly note we can assume that every type of particle & wave existed in Nature can be the simplest form of a system but by it self.
What can be a good approach to make/establish a “modulating scenes” about “Natural Record Keeping” for our best understanding & learning? And what the level of Artificial Intelligence will be required for it, especially which generation of AI will be suitable for this work or its needed to go further from Artificial Intelligence toward “Artificial wisdom”? Can any researcher does help to summarize this set of questions or asked in more better way?
Perhaps the best way to get started is to focus on local phenomena in nature rather than attempt record keeping on a global scale. Local phenomena include, for example, wave action for a portion of a shoreline along a lake or sea or ocean (this can be done by a human observer with a notebook and camera or by a highly focused satellite camera).
I would go one step further with natural record keeping and look for set patterns in observed phenomena. See, for example, a source of wave action patterns in the attached contour plot from
Here is the contour plot from the previous post from
http://arxiv.org/abs/physics/0001001
Here is a sample ocean wave (interesting to watch) from
repository.tudelft.nl/assets/uuid...e7ae.../shoreprotectionm01unit.pdf
Thanks Dear Jamaes Peters for your nice contribution. I think atleast we can go for an imagination of such record keeping to find more deep inside.
An important aspect of the problem posed by the question for this thread is this:
how to identify data that interesting, having sufficient value to merit our recording what we observe. Here is an answer from Jurgen Schmidhuber's theory of active exploration and artificial curiosity:
What's interesting? Many interesting things are unexpected, but not all unexpected things are interesting or surprising. According to Schmidhuber's simple formal theory of surprise & novelty & interestingness & attention & creativity & intrinsic motivation, curious agents are interested in learnable but yet unknown regularities, and get bored by both predictable and inherently unpredictable things. His active reinforcement learners translate mismatches between expectations and reality into curiosity rewards or intrinsic rewards for curious, creative, exploring agents which like to observe / create truly surprising aspects of the world, to learn novel patterns.
http://www.idsia.ch/~juergen/interest.html
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