DETERMINISM_23_OCTOBER_2022_COPY
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DETERMINISM
This web page provides an introductory and high-level explanation of what determinism and its counterpart (non-determinism) are.
In the diagram above, the space-time trajectory which the sequence “ABEJ” represents is a succession of unique events which at least one partial frame of reference experiences such that those events are perceived as occurring in exactly one chronological order (i.e. specifically such that a partial frame of reference renders the event labeled A first, the event labeled B second, the event labeled E third, and the event labeled J fourth).
In the space-time trajectory which the sequence “ABEJ” represents, A represents an information processing agent making a decision such that the information processing agent conceptualizes that the information processing agent could either choose to behave in one phenomenally distinct way (which is expected to cause event B to occur as a consequence of that choice) or else in some other phenomenally distinct way (which is expected to cause event C to occur as a consequence of that choice). In the space-time trajectory which the sequence “ABEJ” represents, an information processing agent perceives itself using some algorithmic process of elimination to reduce the two behavior options down to exactly one such that the option which causes event B to occur is selected.
Within the context of the diagram above, the space-time trajectory which the sequence “ABEJ” represents is theoretically one of multiple possible (deterministic) space-time trajectories which a particular finite frame of reference can render.
Within the context of the diagram above, the space-time trajectory which the sequence “ABDH” represents is theoretically one of multiple possible (deterministic) space-time trajectories which a particular finite frame of reference can render.
Within the context of the diagram above, the space-time trajectory which the sequence “ABCD” represents is theoretically one of multiple possible (non-deterministic) space-time trajectories which a particular finite frame of reference can render. (Unlike the deterministic space-time trajectory examples, the non-deterministic space-time trajectory example occurs in a manner which does not involve a consistent set of physical laws which govern how matter, energy, space, and time are arithmetically related (using arithmetic functions which are used to make extremely accurate predictions about how a decision-making process is made (and perhaps assigning a probability value (i.e. a nonnegative real number which is less than or equal to one) to each one of some natural number, N, of phenomenally distinct and unique decision-making outcomes which an information processing agent imagines and such that the sum of those N probability values is 1) ).
A relatively concrete example of a deterministic series of events is an information processing agent examining a six-sided dice to see that it has one unique symbol per side and that the density of the material comprising the dice is relatively evenly distributed rather than lopsided and then throwing the dice and then watching exactly one of the six predicted resulting symbols landing face-up such that each one of the six symbols has a probability of (1/6) of landing face-up per dice throw (and that probability distribution is calculated by the information processing agent according to (a) empirical data about the identifying attributes pertaining to that particular dice (such as colors, mass, and volume), conceptual data about how the universe in which that dice and that information processing agent live inside of behaves (such as a function which describes the mutually-attracting gravitational force between two objects with mass and whose centers are some finite spatial distance apart), and data about each throw of that dice which that information processing agent observes (such as the symbol which lands face-up after the dice is thrown for some specific natural number of times along with that number of times)).
A relatively concrete example of a non-deterministic series of events is an information processing agent examining a six-sided dice to see that it has one unique symbol per side and that the density of the material comprising the dice is relatively evenly distributed rather than lopsided and then throwing the dice and then watching the dice transform into a two-sided coin (which is an outcome the information processing agent did not anticipate according to what that information processing agent knows about how its encompassing universe operates).
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deterministic : consistent_physical_laws :: non_deterministic : lack_of_consistent_physical_laws.
According to some variations the “many worlds hypothesis”, every possible decision-making trajectory exists inside of its own universe (and it may be hypothesized that every imaginable universe exists inside of an all-encompassing static multiverse). Using the diagram above, the space-time trajectory which the sequence “ABEJ” represents and the space-time trajectory which the sequence “ACFM” represents each originate from the same parent universe at the time an information processing agent arrives at the decision to either effect outcome B or else outcome C (while that information processing agent is located at the chronologically latest end point of the finite space-time continuum labeled A).
Once an information processing agent transitions from A to C, D and E are no longer accessible to that information processing agent as possible decision-making outcomes (unless that information processing agent is able to escape deterministic conditions which enforce the kind of hierarchy of decision-making options depicted in the diagram above). Likewise, once an information processing agent transitions from A to B, F and G are no longer accessible to that information processing agent as possible decision-making outcomes (unless that information processing agent is able to escape deterministic conditions which enforce the kind of hierarchy of decision-making options depicted in the diagram above).
This web page was last updated on 12_OCTOBER_2022. The content displayed on this web page is licensed as PUBLIC_DOMAIN intellectual property.
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This web page was last updated on 23_OCTOBER_2022. The content displayed on this web page is licensed as PUBLIC_DOMAIN intellectual property.
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