Research the topic of artificial intelligence and you will find terms as expert systems, neural networks, artificial life, fuzzy logic, natural language processing and robotics. Evaluate the differences and similarities. How is artificial intelligence used today?
Upon researching what artificial intelligence is, its basic definition refers to the study of the modeling of human functions by computer programs. The following terms will elaborate and add to this definition:
Expert system: a piece of software programmed using artificial intelligence techniques. Such systems use databases of expert knowledge to offer advice or make decisions in such areas as medical diagnosis and trading on the stock exchange.
Neural network: a computer system modeled on the human brain and nervous system.
Artificial life: the production or action of computer programs or computerized systems that simulate the behavior, population dynamics, or other characteristics of living organisms.
Fuzzy logic: a form of mathematical logic in which truth can assume a continuum between 0 and 1.
Natural language processing: the branch of information science that deals with natural language information.
Robotics: the branch of technology that deals with the design, construction, operation, and application of robots.
Similarities: each of these terms relate with one another in that they all constitute what theoretically can be an artificial being; artificial life promotes this vision while its neural network is the basis for such. Furthermore, fuzzy logic and natural langauge processing needs to be applied to compute and constuct this being. Lastly, robotics is utilized in order to achieve the finalizing of creating such an intelligence with the final result being an expert system–or a collection there of.
Differences: the most striking difference between the terms are neural network and robotics; the former is based on humanoid features that mimic actions based on the brain and nerves while the latter focuses on the application of electronics and gears that essentially make up a non-human or a robot.
Based on what I found in my research, artificial intelligence today is used for advanced applications concerning systems and its technological makeup; case studies show that AI systems are applied to authorizing financial transactions (to detect fraud via algorithms to construct profiles of customer usage patterns), configuring hardware and software (by detecting patterns in inconsistencies and keeping up-to-date on upgrades), diagnosing and treating problems (via diagnostic systems in detecting human health irregularities), and lastly, scheduling for manufacturing (by configuring and maintaining an internal timeslot for preparing and delivering orders via logistics and other planning tools).
If anything, AI will become more advanced in the future and will definitely exceed expectations in being truly artificial, not human, intelligence.