Neural networks, fuzzy logic, genetic algorithms, learning systems intelligent systems

Neural networks are sets of interconnected artificial neurons that, very simplistically, imitate some of the logical functioning of the brain. Fuzzy logic emulates the reliable but approximate reasoning of humans, who, it is said, distinguish only six or seven different levels of any variable during decision making. Genetic algorithms and genetic programming are powerful evolutionary search methods that can search for structures as well as numerical parameters. Learning systems aim to emulate the human learning-by-experience mechanism so that a system can potentially learn to perform a task with increasing efficiency over time using an iterative algorithm. Intelligent machines and machine intelligence offer future prospects for creating systems with ever increasing autonomy and reasoning ability.