Information theory is the science of communication, exploring how data is sent, received, and processed efficiently. It focuses on quantifying information, reducing uncertainty, and addressing interference, or “noise,” to ensure accurate transmission. This field underpins technologies like cell phones, the internet, and satellite systems, as well as fields such as artificial intelligence, cryptography, and neuroscience.
Claude Shannon, often called the father of information theory, laid its foundations in 1948 with his groundbreaking work on quantifying information and understanding communication limits. Norbert Wiener contributed by linking it to cybernetics (now known as systems theory), exploring feedback systems in communication and control. Alan Turing, renowned for his work in computing, also influenced the field by exploring patterns and complexity in data processing.
Key concepts include “entropy,” a measure of uncertainty or randomness in a dataset, and “redundancy,” which helps correct errors during transmission. Originally developed to improve telecommunications, these ideas now explain and optimize systems wherever information flows, bridging complexity and clarity in our data-driven world.
A Mathematical Theory of Communication
Called the “Magna Carta of the Information Age” and a “blueprint for the digital era,” this groundbreaking paper gave rise to the field of information theory and revolutionized how we understand and transmit data. By introducing the “bit” as the fundamental unit of data, Claude Shannon explained how to efficiently encode messages to reduce errors and maximize transfer speed. His innovative concepts influenced everything from the internet and telecommunications to data compression and computer science, forever changing the way we connect and share information.
Computing Machinery and Intelligence
Computing Machinery and Intelligence is a seminal paper written by Alan Turing on the topic of artificial intelligence. The paper, published in 1950 in Mind, was the first to introduce his concept of what is now known as the Turing test to the general public.
Cybernetics
Control and Communication in the Animal and the Machine
Acclaimed as one of the "seminal books comparable in ultimate importance to Galileo or Malthus or Rousseau or Mill", Cybernetics was judged by twenty-seven historians, economists, educators, and philosophers to be one of those books which may have a substantial impact on public thought and action in the years ahead.
Intelligent Machinery, A Heretical Theory
In this posthumously-published essay Alan Turing foresees thinking machines surpassing human intelligence. He proposes building them to store memories, index experiences, and learn over time. With proper “education” and a dash of randomness, Turing believes machines could one day converse, play games, and even subsume people’s “feeble powers.” Though we cannot fully grasp this future, Turing saw momentous possibility if society supports cybernetic evolution.