Information Theory Personality Type, MBTI
What is the personality type of Information Theory? Which MBTI personality type best fits? Personality type for Information Theory from Fields Of Study and what is the personality traits.
ENTP (5w6)
Information Theory personality type is ENTP, they are idealists who are not afraid to use their imagination to solve problems. They use (and enjoy) the process of discovery to see the bigger picture. ENTPs are curious and interested in learning about things that are new, unusual and other-worldly. They are also good at finding patterns and connections between things, which is why they are so good at mathematics, science and technology.
ENTPs are usually good at solving puzzles and problem-solving, but they can also be a little chaotic and unpredictable because of their tendency to come up with original ideas. This can make life difficult for others who are trying to figure out what they are up to! ENTPs are excellent at making new connections and seeing the big picture, but they can be extremely forgetful, which makes it difficult for them to keep track of things and keep commitments. They like the flexibility of being able to move from one job to another, but they also like to have more stability in their life. ENTPs are usually creative problem solvers who like to use their imagination to solve problems.
Information theory is the scientific study of the quantification, storage, and communication of digital information. The field was fundamentally established by the works of Harry Nyquist and Ralph Hartley, in the 1920s, and Claude Shannon in the 1940s. The field is at the intersection of probability theory, statistics, computer science, statistical mechanics, information engineering, and electrical engineering.
A key measure in information theory is entropy. Entropy quantifies the amount of uncertainty involved in the value of a random variable or the outcome of a random process. Some other important measures in information theory are mutual information, channel capacity, error exponents, and relative entropy. Important sub-fields of information theory include source coding, algorithmic complexity theory, algorithmic information theory and information-theoretic security.
