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MIND READER

机译:读心者

摘要

First we start out with what is known of a landmark how well we know in orderto identifywhether it is the exact thing we are looking for (eg. entities; interactions;explanation;description; definition; qualifier quantifier - as building blocks).If the known (awareness) of beliefs available information about the thing isnot enough tomake a close examination, then we use the model search technique.We need to choose of combine the search for the identity of something by scopeof thesearch. Are you satisfied general/generic group or category versus a detail,customized,unique answer.ALTERNATIVE 1.First we could use an overview of the sought after thing's pattern ofattributes/connections/clues/linkages (1) types and 2) ranked strengths foreach (and alsothe 3) number for any of the attributes/connections/clues/linkages that leadto things -answers that have a high probability match (benchmarked against peers that mayor may nothave and if not probably worthwhile examining this thing and its uniquenessand itsrelationship to attributes/connections/clues/linkages (depending the same highprobabilitymatching to possibly the same types; number; and strengths; as peer thingsthat have thesame 3) characteristics would conclude the logical system/category that thesought afterthing's relative patterns of other comparable peers, organized by the logicalsystem that thesought thing is grouped under by category or singled out as different from theother membersof the logical system by differences in these 3) characteristics that can beeyeballed orguestimated.ALTERNATIVE 2.The model search technique also involves using the sought after thing's knowninformation(as a starting point) to use to trace viaattributes/connections/clues/linkages 1) to otherthings, whose own pattern of attributes/connections/clues/linkages 1) types 2)rankedstrengths 3) number of high probability matches for each of its ownattributes/connections/clues/linkages (benchmarked to examine for samepatterns of otherpeers in its group category - logical system), if this pattern(eyeballed/guesstimate/weighed)is recognizable as a strong two (or more leading to the same sought afteranswer) waysupporting the identity/existence and possibly overlapping involvement of eachother.ALTERNATIVE 3.Search down list of types of attributes/connections/clues/linkages that canlead torememberance of the sought after thing's identity and/or combination(s) ofattributes/connections/clues/linkages that match (by verified - recognition -awareness) thatthe answer sought possess these traits, especially where the multiplecombinations aremake a unique match. Traits include attributes/connections/clues/linkages aswell to thethings (they are connected to) with strong correlation such 1) types 2) rankedstrengths 3)number of high probability matches for each of its ownattributes/connections/clues/linkages(benchmarked to examine for same patterns of other peers in its group category- logicalsystem).In order to translate thoughts (neurons patterns) we could have thecomputer/ArtificialIntelligence or robots measure STRENGTH of Recognition, as the visualizationrolls out,possibly also the excitation that makes it roll out - and the sureness;knowing how the rightanswer is different (see above) from the wrong.In order to translate content (awareness of the system) we note the parts thatelicitresponses that is often used for recognition; by observing the brain'spatterns as it respondsto any of the factors (the parts that people's minds naturally notice and theorder ofobservation) below (separating each response from another - the difference inthe brain'spatterns at recognition and continued awareness of the parts' meanings - evenrecording thebrain's change in pattern as awareness of the part is degraded (especiallywhen learning hassaturated the mind - such as University Full Courses Load) and temporarilyforgotten andwhat cue is programmed to re-trigger the thought to come back in the future(eg. task - time- place) (as well we could when multitasking, differentiate between contentscontrolled byone part of the brain's patterns and another that control the other part, whenone thoughtperks up during a break in concentration from the other - eg. searching for amemory createsan empty slot in our contents that the other multitasked thought (or even asuppressedthought) may perk up in) we could use these techniques to read minds, anddevelop mind tomind contact (eg. over the internet GP 5%) allow Artificial Intelligence tocommunicate viathoughts even make a computer or television (Via AI or other console): projectpictures1. Pre formed important beliefs that touch a logical value nerve.2. Most attention stealing/capturing parts in real-time dynamic emotionalresponse).3. Why you value, your criterias, why you feel connection/emotional eg.logicalvalue, interesting, curiosity, nostalgia, sentimental, new (experience -curiosity)safety relative to sanity, entertainment such as understanding a story, wantto seefull story, cause/effect cliff hanger, who did it? And how it ends, passionate-veering towards what touches your heart except at times can be distracted whenloose your train of thought, engage in another thought; also important beliefsthattouch your heart eg. sports and/or outdoor activities.4. Principal parts size relative to humans or its other parts (whereobservable) criticalto overall operations also colour (patterns) that most appealing to theperson,catchy movements and sounds that appeal to the taste in general or at the timedepending on how fulfilled the person is at the time and their generalcompulsionspatterns of appetite through out the days, weeks, months...5. Changing and adding and putting aside important beliefs (that may becomeadded or replaced or altogether new) that touch a logical value nerve.Ultimately if we could create a database or Artificial Intelligence orcomputer algorithms, thatcan read healthy people's generic/general brain patterns of neurons firing foreveryrecognition, memory recognition - awareness - degradation - re-triggering,possiblycorrelated by tracing down the strength/sureness of answer pathway to a (ananswer) eg.picture or even objects, entities, interactions, qualifiers, quantifiers on acomputer screen orin real life, and reward the brain damaged victim when he (correct in timinglike a regularhealthy human) generates a better and better response to more and more like anormalhealthy human brain.We could also temporarily implant a microchip (or comprehensive brainelectrodes - or forthe gland at the back of the head) that pulses, or reads or both pulses (asreward - orstimulus) or reads (amplifies GP2%) the brains signals when the brain damagedvictimssenses the stimulus which is connected to a bunch of possibly stem cells andtissue culturedneurons outside the person's head. We can amplify the brain damaged person'ssound tostimulate the bunch of tissue cultured neurons which in turn are connected toa computerscreen or a stimulus in real life, the signals from the brain damaged person'sbrain eventuallycollaborate with the neurons from tissue culture to control and manipulate thecomputer. Weexpect that the stem cells and neurons tissue culture could eventually beinjected into theplace of the micro chip or taking the place of the damaged brain cells.The Artificial Intelligence could give feedback to guide/advise ask forclarification andverification as it reads a person's thoughts - mental collaborations betweenhumans, ArtificialIntelligences and computers all at the speed of thought. For humans, who aremore prone tomental mistakes their thoughts could be filtered, pre real-time feedback oftheircommunications/instructions/responses - eg. especially guarded secrets andemotionalresponses that might be offensive.
机译:首先,我们从已知的地标开始识别是否正是我们要寻找的东西(例如实体,互动,说明;描述;定义;限定词限定词-作为构建基块)。如果已知的(意识)信念有关该事物的可用信息是不足以仔细检查,然后我们使用模型搜索技术。我们需要选择按范围组合对某物的身份搜索的搜索。您是否对一般/通用组或类别相对于细节感到满意,定制的唯一的答案。替代1。首先,我们可以使用一种广受欢迎的事物模式的概述属性/连接/线索/链接(1)类型和2)排名优势每个(还有3)导致任何属性/连接/线索/链接的编号对事物-具有高概率匹配的答案(针对可能可能不会已经并且如果可能不值得研究这个东西及其独特性及其与属性/连接/线索/链接的关系(取决于相同的高可能性匹配可能相同的类型;数;和优势;作为同伴有相同的3)特征将得出逻辑系统/类别被)追捧事物的其他可比同伴的相对模式,由逻辑系统认为所搜寻的事物按类别归类或被选为与其他成员这些3)特性中的差异可以使逻辑系统眼球或客串。替代2。模型搜索技术还涉及使用所追捧的已知事物信息(作为起点)用于跟踪属性/连接/线索/链接1)到其他自己的属性/连接/线索/链接模式的事物1)类型2)排名优势3)各自的高概率匹配数属性/连接/线索/链接(标为检查是否相同)其他模式如果使用此模式,则其组类别中的对等实体-逻辑系统)(眼球/猜测/称重)被认为是强大的两个(或更多个导致相同的追捧)回答)方式支持每个人的身份/存在以及可能的重叠参与其他。替代3。可以搜索的属性/连接/线索/链接类型列表导致对所追捧的事物的身份和/或组合的记忆匹配的属性/连接/线索/链接(通过验证-识别-意识)寻求的答案具有这些特征,尤其是在多重组合是进行独特的匹配。特性包括属性/连接/线索/链接,如很好具有高度相关性的事物(它们与之相关),例如1)类型2)排名优势3)各自的高概率匹配数属性/连接/线索/链接(旨在检查其组类别中其他对等方的相同模式-逻辑系统)。为了翻译思想(神经元模式),我们可以电脑/人工智能化或机器人测量可视化识别的强度推出可能还有激发它的刺激-以及确定性;知道如何正确答案与错误是不同的(见上文)。为了翻译内容(系统意识),我们注意到引出通常用于识别的响应;通过观察大脑的响应的模式受任何因素(人们的思想自然注意到的部分以及的顺序观察)(将每个响应与另一个响应分开-大脑的识别和持续了解零件含义的模式-甚至记录大脑对部分的意识下降时模式的变化(尤其是当学习有饱和思想-例如大学全课程负荷)和暂时被遗忘的编程了什么提示以重新触发将来的想法(例如任务-时间-位置)(在多任务处理中,我们也可以区分内容受控制于当大脑的一部分模式控制另一部分时,一个想法在注意力集中中断时振作起来-例如。寻找一个记忆创造我们内容中的一个空白位置,是其他多任务思考(甚至是压抑想)可能会振作起来)我们可以使用这些技术来阅读思想,并且发展思想心灵接触(例如,通过互联网5%的GP)可让人工智能通过沟通想法甚至使计算机或电视(通过AI或其他控制台):项目图片1.形成了触及逻辑价值神经的重要信念。2.实时动态情感中最受关注的偷窃/捕捉部分响应)。3.为什么珍惜自己的标准,为什么感到有联系/情感,例如合乎逻辑的价值,有趣,好奇心,怀旧,感性的,新的(经验-好奇心)相对于理智的安全性,娱乐性,例如了解故事,想要查看全文,因果悬崖衣架,是谁做的?以及如何结束,充满激情--转向触动你内心的东西,除了有时会分散注意力放松思路,从事另一种思想;也是重要的信念那打动你的心运动和/或户外活动。4.相对于人类或其他部位的主要部位尺寸(其中可观察到的)对整体操作而言,颜色(图案)也最吸引人人,吸引听众的动感和声音,总体上或当时都具有品味取决于该人当时的满意度以及他们的一般情况强迫性几天,几周,几个月内的食欲模式5.改变,增加和抛弃重要的信念(这些信念可能会变成添加,替换或全新)来触及逻辑价值神经。最终,如果我们可以创建数据库或人工智能或计算机算法可以读取健康人的神经元激发的通用/通用大脑模式每一个识别,记忆识别-意识-降级-重新触发,可能通过追踪答案路径的强度/确定性来关联答案)。图片或什至是物体,实体,相互作用,限定词,限定词电脑屏幕或在现实生活中,奖励大脑受损的受害人(时机正确)像普通人一样健康的人)产生越来越好的反应,越来越像正常人类的大脑健康。我们也可以暂时植入微芯片(或综合大脑电极-或用于脉冲或读取或两个脉冲(如头后部的腺体)奖励-或刺激)或读取(放大GP2%)大脑受损时的大脑信号受害人感觉到与一堆可能的干细胞有关的刺激,组织培养人脑外的神经元。我们可以放大大脑受损者的听起来刺激一堆组织培养的神经元,这些神经元又与一台电脑屏幕或现实生活中的刺激物,来自大脑的信号会损害人的最终大脑与来自组织培养的神经元合作以控制和操纵电脑。我们期望干细胞和神经元组织培养最终可以注入放置微型芯片或替换受损的脑细胞。人工智能可以提供反馈以指导/建议要求澄清和在阅读一个人的思想时进行验证-两人之间的精神合作人类,人工的智能和计算机全都以思想的速度发展。对于人类来说,更容易精神失误,他们的想法可以被过滤掉,预先的实时反馈其通讯/说明/响应-例如特别是受保护的秘密情感的可能令人反感的回应。

著录项

  • 公开/公告号CA2600572A1

    专利类型

  • 公开/公告日2009-03-10

    原文格式PDF

  • 申请/专利权人 VOON GERARD;

    申请/专利号CA20072600572

  • 发明设计人 VOON GERARD;

    申请日2007-09-10

  • 分类号G06F15/18;G06N99;A61B5/0476;A61B5/16;G06K9/62;

  • 国家 CA

  • 入库时间 2022-08-21 19:23:25

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