G - Physics – 06 – N
Patent
G - Physics
06
N
G06N 99/00 (2010.01) C12Q 1/00 (2006.01) C12Q 1/68 (2006.01) C40B 30/02 (2006.01) G06F 15/18 (2006.01) G06Q 40/04 (2012.01) A63F 13/00 (2006.01) G06F 17/27 (2006.01)
Patent
CA 2618651
Quantum Computers hard ware as well as soft ware and/or Artificial Intelligence (via node network and project manager/primary coordinator) where: Running multiple simulations to solve the same type of problem at the same time. (each with different inputs and formulas (0.15%), or the same type of inputs variables (isolating the types, number of the variables (0.3%). Multiple problem solving rules/relationships (variable versus known quantities) choice and decision making by simultaneously attempting all options/decisions/strategies (strategies involve multiple options and ability to roughly guess the future scenarios correctly some of the time) at the same time (similar to Gerard's Mathematical Language) - operations/tries. Where the final product that choice of formula will produce (result in) can be extrapolated. Best foresight/forecasting (led to believed best decision/option/strategy based on clues, the best of which include major drivers that (least non-renewable resources required that produces the most impactful to results), balancing major variable and their relationships, and /or overview - collective of all factors and their contributions from start time to end time of final product. In the case of Artificial Intelligence, multiple inputs are run through with Logic Language systems that bond entities and interactions together via attributes/clues/connections/linkages (of which multiple attribute/clues...can be searched at the same time) eg. stimulus (rules (values - emotion that can be becoming and changing in response as time passes and spontaneity for humans can add an element of unpredictability) - interactions - response, action - reaction to find sought output, and other outputs speculated and/or accidentally discovered (negative and/or positive) running multiple simulations by varying type, amount and timing of inputs. A systems inclusive parts that contribute to impact effects on the conditions of outputs, operations which are interactions (how the system or segment of system) works its proper behaviours, input and the action/reactions (and catalyst where these inputs usually aren't necessary as ingredient of the output character but are needed to facilitate the conversion of inputs into desirable output form). The mechanics of relevant interactions type, amount of gain versus unwanted (in terms of usage don't belief needed; believed unimportant; can't see the value in any important usage; doubt its usefulness) One use of Quantum computing monitor huge number of genes in any and all gene related diseases and/or solutions/treatments: Such as Monitoring all the genes that have become deactivated/activated (timing - to suggest cause effect) such as when a batch of stem cells have stepped dividing. And then test each or combination (as well as sequencing - when along the division process become deactivated/activated) all genes simultaneously. Stock Market - ROI, EPS, P/E, - given all major factors size of company to size of overlapping (strategy of) major pools of Investors that really only push the market in an either /or direction, that is buying (whether contrairian/growth/value - fundamentals/geographical switching - negative correlation cycles/chart tracking - larger time span appreciation (at peaks over the time span) - taking into account profit taking, corrections/event driven and/or timing) pushes the stock price up and when the major investors sell the price goes down; whereby if the investors are rational a company that has good fundamentals - sustainable competitive advantage should appreciate over the long term.... Video Games/Artificial Intelligence - cascading (huge parts of games and alternative evolution of characters and outcomes - manmade and natural, changing society; changing backdrops) changing resources, changing objects - change based on choices in game by Users. What happens based on (values and emotions; strategies logically and emotional responses - correct wants or wants related entities interactions of scenarios with) intents/agendas/motivations mentally carried out physical actions in reaction to scenarios, knowing what you hope to accomplish versus stimulus learned response versus response based on similar type of stimulus encountered in past (similarity in context) versus probability list of possible responses roll of dice, creating semi-random time/place and characters in the environments. What happened when other characters (run by Artificial Intelligence) reacts to the way the User (eg. while the User is away); incentives; positive various carrots and sticks; fears; quality time (Je 0.01%); give/take; assets; affections; supportive of their insecurities (uncertainty); competitive by other characters how they treat the Artificial Intelligence characters, the Artificial Intelligence characters might learn to do without you while you are gone (learn to live independently) - from the compartment that the eg. object character chooses to dwell in. Incentives - negative; fight; argue; judge harshly; (versus making allies); agree to join against common enemy; (also glory; promises for a group, crowds and populations behaviours). Artificial Intelligence (eg. Office soft ware, computer programming, algorithm programming; h/w, s/w tech support) can be rentable such as multiple Artificial Intelligences' that are running simultaneously and can even be self-directed; or the Artificial Intelligence can walk people through operating (inputs - interactions - outputs) any and all automated mechanical things even mind to body any and all things that can be controlled. We could also use quantum computing for our Multiple Level Mag Lev Vechicle logistics and also Sky Highway and/or airport to airplane landing and lift off logistics. In all the above cases we could put labels/representative word with a combination of numbers and alphabets (that dedicate a section to a systems' theme - similar to libraries Dewey Decimal Call Number) on each alternative especially landmarks choices/options labels mark system then entities (inputs/outputs)/interactions/time screnarios and quantities/qualities, organizing related system (whose parts have a close bond/attribute/clues/connections/linkages/relationships... - can be chosen and valued by strength and lasting (usually non-volatile) intervals/cycles of volatility temporary strengths versus steady, growing major factors that affect the strength of the relationship versus past factors that either by one side of the relationship or the other side has less (strong effects/impacts) as well as cycle spanning this type of relationship to influence and become impactful - also dependent on sensitivity of each side (supply/demand) and the amount of resources needed and allocated to make usually correlated (cause/effect) changing size of impacts) of choices by the same number/alphabet system label (section). We could also use SUDOC Call Number, ISBN/ISSN, OCLC...where User wants to save memory space, than can just include landmark representative system labels/names/key words (eg. Medicine - treatments) ... that riff off internet browsers and on the Users own only include the specifics of the system's part(s) information they want quick access to (possibly because of expected repeated use) eg. short term memory. My Logical Language and Artificial Intelligence creation uses a similar system. Different sections/chapters (of memory) are dedicated to different forms of human mind processes. Therefore the left hand (large side) digits section/chapter digits (indicators of macro size/place) tells the User the process that occupies that place, how the process works operations; the right hand (small side) digits (micro specific digits) dedicate memory to contents: inputs - interactions - outputs. So a programmer who wants to deal with a certain mental process can go straight the section/process call number dedicated to that process. Communications, chit chatting, content important (eg. identifying, important data, news, message, beliefs qualifying/quantifying... Create an algorithm about emotions (responses), of the (can classify peo
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Voon Gerard
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