9. Concept of Soul:

 

Till now we have discussed about an algorithm and its input and output and some data processing technique. But now I will explain the idea of the “soul” part of this algorithm, and that’s why it will be real intelligence algorithm. The main disadvantages of traditional artificial intelligence algorithm are, these do not know what to learn, why to learn and most importantly machines are unable to handle emotional matters. Traditional artificial intelligence is just a machine. For example - suppose we are running a NLP system which can communicate both way - that means it can take input from users and analysis the input and deliver a reply or info (Like clever bots). Now if you tell this NLP system “Five soldiers died”. Definitely the system will reply “Alas! Very sad!”. Now you tell is the reply is ok? Or the analysis of the system is ok? For the traditional AI system, it is OK. Because these algorithms works only based on their comparison capacity, in the above case the system will analysis the word “died” and as this is the word related with pathetic issues, so the system answered so. But the answer is not correct for all cases.

Later if I add that the “they were our enemy soldiers”. In that case the answer should be “Great!”, well done!!” or something like that. This is the one of the main feature of soul algorithm. For any event related impression changing effect it will assign a soul value, if the value is higher than the events or impression is going on safe line. Let's explain-

Suppose we are handling this issue by a DB table named soul_table

Soul_table

Id
ref
owner
decision_point
target

As discussed earlier, if 10 days (time) applied on an apple then it becomes ripe, its smell, taste, looking will be changed and ok for eating for you and objects of your group (all human being). So in this case the values of the soul_table will be like

Id = unique id
ref = event ref (from empression_lifecycle table)
owner = for whom this event is occurring
decision_point = initial value ‘0’, if the event is positive it will go higher and lower for else
target = greater value from current value. It will use to find better option.

For example if we set the value of “curiosity” impression “10” for any event then the target value will be “11”. When any applied action go positive and the curiosity value will set to “11”, at that stage target of that event will be “12”, In that way the soul’s curiosity target will always increasing and always find a better solution and enhance its Knowledge Base.

In the above case if we get more sweet and good apple for “11” days’ time applied factor, it will increase the value of decision_point higher.

Now consider another case; if the applied_factor = 30 days and we get a rotten apple’s properties like bad smell, bad taste in the sense values of impression_lifecycle table, we will get negative value at the decision_point, and this value will gradually down after getting started of negative events like starting bad smell, starting bad taste to eat ….etc

At the same time let’s consider another case - that some insects like rotten fruits, so at the decision_point, for rotten fruits values will be decreased when owner = human group and values will be increased if the owner = insect group.

Now time to initiate a soul. Consider the case of a baby boning. After a baby has boned, he or she got an identity. Here identity is not meaning the baby’s name. That means every baby is unique like DNA profile. During growing the baby, every moments he grouping the impressions he got, like my mother, my father, my family, my safety, my family’s safety …. Etc.

Recall the making group section of soul algorithm, and also consider the last section where we discussed about decision_point.

OK. Now create a soul and it’s unique id is suppose 28022017124714. Let’s initiate it. While initializing the soul, simply we have set the following issues. In the soul_table the owner value will be “28022017124714”. To avoid complexity, simply the algorithm should be as following –