Intelligent Systems

Intelligent Systems Co., Ltd. (Japanese: 株式会社インテリジェントシステムズ, Hepburn: Kabushiki-Gaisha Interijento Shisutemuzu) is a Japanese video game developer closely affiliated with Nintendo and best known for the Fire Emblem, Wars and Paper Mario series. Originally it was headquartered at the Nintendo Kyoto Research Center in Higashiyama-ku, Kyoto, but in October 2013, they moved to a new building near Nintendo's headquarters.

History

Intelligent Systems started out in the video game industry when developer Tohru Narihiro was hired by Nintendo to port Famicom Disk System software to the standard ROM-cartridge format that was being used outside Japan on the NES. Similarly to the origins of HAL Laboratory, the team soon became an auxiliary program unit for Nintendo that provided system tools and hired people to program, fix, or port Nintendo-developed software. Much of the team's original work consists of minor contributions to larger titles developed by Nintendo R&D1 and Nintendo EAD.

System

A system is a set of interacting or interdependent component parts forming a complex/intricate whole. Every system is delineated by its spatial and temporal boundaries, surrounded and influenced by its environment, described by its structure and purpose and expressed in its functioning.

The term system may also refer to a set of rules that governs structure and/or behavior. Alternatively, and usually in the context of complex social systems, the term is used to describe the set of rules that govern structure and/or behavior.

Etymology

The term "system" comes from the Latin word systēma, in turn from Greek σύστημα systēma: "whole compounded of several parts or members, system", literary "composition".

History

According to Marshall McLuhan,

"System" means "something to look at". You must have a very high visual gradient to have systematization. In philosophy, before Descartes, there was no "system". Plato had no "system". Aristotle had no "system".

In the 19th century the French physicist Nicolas Léonard Sadi Carnot, who studied thermodynamics, pioneered the development of the concept of a "system" in the natural sciences. In 1824 he studied the system which he called the working substance (typically a body of water vapor) in steam engines, in regards to the system's ability to do work when heat is applied to it. The working substance could be put in contact with either a boiler, a cold reservoir (a stream of cold water), or a piston (to which the working body could do work by pushing on it). In 1850, the German physicist Rudolf Clausius generalized this picture to include the concept of the surroundings and began to use the term "working body" when referring to the system.

Machine learning

Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a "Field of study that gives computers the ability to learn without being explicitly programmed". Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions, rather than following strictly static program instructions.

Machine learning is closely related to and often overlaps with computational statistics; a discipline which also focuses in prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms is infeasible. Example applications include spam filtering, optical character recognition (OCR),search engines and computer vision. Machine learning is sometimes conflated with data mining, where the latter sub-field focuses more on exploratory data analysis and is known as unsupervised learning.