After the rise of AI, many companies begun to capture people’s online behavior, and strive to label everyone with interest and temper, and gradually improve as people’s online behavior change. After labeling people, they also recognize people’s mindset. AI will give people accurate push, verify people’s interest in news, shopping information, fitness information and make AI predict the twist and turn of people interest.
Big data is very feasible to simulate the mindset of people, after connecting to the various nodes in network, the single system forms a giant cluster, which is uniformly used by big data and becomes a node of the neural network, which can accurately predict the mindset of people.
People’s unintentional natural choice is actually the unconscious choice of the subconscious mind, and it also reveals the true inner thoughts of oneself, and often choosing this way will expose the mindset. Because big data will not only capture people’s online behavior, but also categorize people’s online behavior based on time.
Even, you can guess your personal preferences and time planning, and can accurately predict the situation and preferences of yours family members. After correlation, all members of a family can be coded for interests. The greater the number of people in a family who use the Internet, the more they are calculated by big data, because big data has captured the online habits of all members of the family and the mindset derived from it, and compared and correlated them.
Pattern recognition is the subfield of AI deals into the processing and analyzing various forms of data that characterize things, past events, the logical relationship and similar events. Pattern recognition mostly used as to find anomalies and describing, analyzing, classifying and explaining things or phenomena. For example, the identification of lungs cancer in X-ray images similarly analysis of particular mark on images to detect desired intelligence.
Another subfield of AI, a method to study how computers+algorithm simulate or implement human type learning behaviors to acquire new knowledge or skills. Machine learning mostly reorganize existing data and continuously enhance its own performance to match the specific requirements of the business owner.
It is the basic method to collect knowledge discovery in the data, useful information is mined through algorithmic search, and applied to market analysis, scientific exploration, disease prediction, etc.
The specific set of computer code to solve certain types of problems, for example, the shortest path problem we are most familiar with, and the project budget problem.
Different subfields of AI can imitate people’s mindset, because fixed formulas can be easily calculated and loopholes can be easily found. Human mindset is easy to form. It has not been formed in childhood, and the understanding of the world is not complete at that stage but at adult stage, with the deepening of experience, the human mindset will be formed. After all, most people live in an environment that they are familiar with, as if they know everything around them, they have formed their own understanding, and it is not easy to change. When a person arrives in an unfamiliar environment and meets a lot of strangers, he must re-arrange his mindset, and strive to label the unfamiliar environment as quickly as possible. Quickly form a general, vague, and gradually clearer understanding of surroundings.
Of course, it is impossible for a person to know the other person completely in a short time, but people seem to be very arrogant and feel that they know the world, especially the surrounding environment and people
As for myself, I know a lot more, and I have formed a certain style of doing things and language. Especially when people are old, they can’t change their mindset. Instead, they solidify their own understanding and stick to it, even if they don’t want to change it. As a result, many people say that people become stubborn when they grow old. In fact, they just live in their own world of experience when they grow old. It is not that they cannot be changed, but that they do not want to change and do not want to take that effort.
A Consumer’s behavior is often perceptual, and even after thinking, they still cannot escape perceptual participation. After all, consumer mostly live in habits. Habits can expose people’s stereotypes, and it is also a typical model guided by stereotype consumers. AI simulation of human mindset starts with human habits, and it is often accurate, with little deviation, and the key can be continuously revised and perfected, and it will become more accurate with each day passing.