Modern History of Artificial Intelligence
|1950s||1. Birth of AI (1956)|
2. The Dartmouth conference was the moment that is widely considered the birth of AI.
3. Marvin Minsky was invented First Neural Net Simulator and General Purpose Problem Solver was invented by Simon.
4. Machine Learning - It is a process of generating a new set of rules, based on inferences from the data. It is a subset of Artificial Intelligence. Machine learning algorithms builds a mathematical model based on sample data, that is known as training data.
|1960s||1. Analogy - An analogy is between the human body (brain) and programming languages. It plays a significant role in problem solving, as well as decision making.|
2. STRIPS - It stands for Stanford Research Institute Problem Solver. It is a problem solver planner.
|1970s||1. Conceptual Dependency Theory - It is a model of natural language used in Artificial Intelligence Systems. Roger Schank at Stanford University introduced these model in 1969.|
2. Frames - It is an Artificial Intelligence data structure used to divide knowledge into substructures by representing Stereotyped Situations. It was proposed by Marvin Minsky in 1974.
3. Expert System - It is computer system that emulates the decision-making ability of a human expert. The first expert systems were created in 1970.
|1980s||1. XCON - It stands for EXpert Configurer, It is a production-rule-based system written by John P. McDermott in 1978 to assist in the ordering of DEC's VAX computer systems by automatically selecting the computer system components based on the customer's requirements.|
|1990s||1. CYC - It is a long-living Artificial Intelligence project that aims to assemble a comprehensive ontology and knowledge base that spans the basic concepts and rules about how the world works. It was developed by Douglas Lenat in 1984.|