10. The Algorithm

 

Before this section one question must be knocked you that is - soul algorithm will work on five basic senses, but current latest technology not yet so smart even unable to provide us any sensor which can sense perfectly as human do; we could not invent smell and taste sensors. We are using sight, touch, and sound sensors but these are not giving so accurate data to make difference between mostly similar things or events. So the question is-

 In this situation how soul algorithm will work?

The solution is “Alternation”. Suppose, someone describing you about a spice, which you did not taste before. If you described perfectly, you can learn about the spice and you can use the unknown spice appropriately to make food. So here you have learnt by hearing and without using your sight (eye) sense and taste (tongue) sense. As we do not have the sensors so we have to develop the impression network with all possible instance of basic senses data.  Simply in the impression network database we will input what we see, but important thing is maintaining standard and pattern of inputting method. We will try to assign almost similar value for any impression or event, like hexadecimal code for colors.

10.1. Algorithm Prerequisite

1. create unique soul [with unique ID using date time]
2. create & initiate senses [which sense for what input during input]
3. develop & define predefined KB [relation & rule like; IS, HAS, MOVE, GOOD, BAD, GRAVITY]

 

10.1.2. Soul Algorithm

01. ask sense value for the impressions. (assume that there is no stored impressions). If match with any existing impressions, then update impression network

02. establish relation with other impression by predefined KB.

03. update impression network [place the impressions maintaining parent & child relation].

04. register the impression to impression_lifecycle process.

05. publish & register rule / result for every single applied factor.

06. store rule and info, update result in soul_value.

07. register / update group_network.

08. apply stored rules group wise on all available impressions.

09. filter the exceptions and store exceptions with corresponding rules.

10. permutation & combination among rules & impression for new and better Knowledge and update target of soul value for existing knowledge

11. maintain parent and child while storing rule or info.