The Philosophy of Bonding

The Philosophy of Bonding

The debate on explanations on the famous saying of Heraclitus saying no one crosses the same river twice. It indicates changing waters or the changing times or even the changing experiences. But once a man commits an error on a situation thereafter in a similar situation, he will not commit the same error.

More a man knows more he moves towards the unknown.

Mind is a unique organ that can never be completely understood by its keeper.  All experiences are eventfully coded by the mind, the funniest things in bonding all these codes. If the mind is asked to bond glass tumbler and water, then it easily fits a picture of a water filled glass tumbler. When mind is asked to bond a hand full of jasmine flower it simply bonds a handful of jasmine flowers with its fragrance and color.

In the process of bonding the mind tries to set a pattern already experienced or set a new pattern that will be logically correct and understandable. For instance, mind has experiences wind and mind has also experienced spider web. When the mind is asked to bond spider web and the wind this is a challenge. Mind has never experienced a situation where both the wind and spider web were connected. This throws a discomfort is trying to collaborate the wind and the spider web.

Both the data of the wind and the spider web are part of the data in the mind but yet the collaboration process is not easily achieved. Mind may know a data but still may not know it. This is a paradoxical situation. When the same task is pushed in to Artificial Intelligence the task is well executed by giving an output. Here what the mind could not do is executed by the AI.

Mind always rely on logical connectivity and banks on a good quantum of experience data. But in Artificial Intelligence this need not be present. It was giving an output which may not satisfy everything logically and it may not have experienced it either.

It was a unique experience to request AI to generate images. The task depended on the prompt. A situational prompt was presented and was tagged to “classic painting” it did give a good output. To take the task further the prompt was changed from “classical painting’ to ‘Philosophical painting” or “Musical painting” or “Poetic painting” the output was not the same in all three.

Does these tasks exhibit a limit to the perception formation of the logical mind, if yes, then is not the AI scenario better in task orientation than the mind. AI is capable of connecting two non-related things to give an output which may or may not be logically correct, nevertheless, it completed the task. But when the same task is given to the mind it fumbles to give a logical output. Is the fear of giving an output of two unrelated things based on logical perfection?

Human mind will not cross the same river twice, but AI will not hesitate to cross.

 

The Data of Unfamiliarity

The Data of Unfamiliarity

Familiarity is a set of data already accumulated and processed for knowledge. All living creatures are functioning in a relatively easy environment where all data is processed and stored. These processed Data is stored in a set under Familiarity.

Familiarity gives confidence and a deep sense of the feeling that all is well and nothing to worry. Every interaction of living creatures is processed in swift section of time with the data they encounter, and it is mapped with the library already carrying huge data of familiar and already experienced conditions. This puts the living creatures to quickly recognize the interaction and proceed to the next stage of response. 

The basic algorithm of all living creatures is to scan any interaction for familiarity. If the creature experiences an event unfamiliar then within section of time triggers a response that this new set of data experienced is unfamiliar puts the receiver at crossroads. The nearest possible mapping is initiated to find out if there is any threat. If the answer be in affirmative the creature instantly exits from that interaction. Even if a smallest fraction of the mapping confirms that there is no threat then the next step in progress to approach the interaction with caution is initiated.

When creature moves into the platform of exhibiting caution in the smallest segment of time all sense organs start to transmit all possible data with regards to the unfamiliar interaction to the mind. The swiftness in processing the new data and mapping them into various categories ensures that no unfamiliar interactions are allowed to cause disturbance.

As the mind gets exposed to Unfamiliar Data, such Data gets into a process of quick checking and moving to a new set if it cannot be mapped with any existing set, not even to the nearest proximity. When a similar event to the new batch of unfamiliar data is experienced, the data gets processed to a fully familiar data and moved to a new or appropriate set.

The most interesting part is when two people are exposed to an event where for one person the event’s data are familiar and for the other person the event’s data are unfamiliar. A communication about the data of the event when explained by the person familiar to the event to the person unfamiliar to the event there is new mapping happening. In such a case the person unfamiliar need not wait to experience the unfamiliar event once again to have it processed as familiar data.

Any narrative data of one person gets registered as a familiar data in another person even without experiencing the narrative in reality, but when it is experienced in reality the stored data gets refined to a higher quality data.

 

Ai’s Digital Eye

 

Ai's Digital Eye

The foremost objective in the principle of clarity is the nonexistence of ambiguity. It will not be wise to have a system with both clarity and ambiguity. One does not complement the other. When this discussion is done with respect to Natural Intelligence and Artificial Intelligence a sense of uncomforting may shift in.

It will be interesting to find the outcome of a test which will ask the participants to identify the blurred items in a picture. When both Ni and Ai is allowed to make an analysis on a picture with many items and out of this some items are blurred.

Humans will use their intelligence and identify the blurred items with those they would have seen and registered in their mind. Such results will be accurate without giving room for ambiguity. For those items which they may not have seen or registered them at best can assume and give an ambiguous answer.

Ai gives a different result all together; it may be a surprise that all the blurred items would have been read to a spot-on accuracy. The data base they source is wide and fast. The process of matching with options of fitting or not fitting will happen at a great speed.

Anyone accessible to a wide range of data and knowing how to manage it will have greater clarity.