Analysis about Application of Learning System into Interactive Digital Art Implementation

Abstract

The rapid growth of science and technology influences to Digital Arts. Digital art is no more unfamiliar genre in art field. We can see many kinds of digital arts in our surroundings. High technology makes digital art more brilliant and various. Interactivity is very important factor in digital art. Some interactive digital art works are look like a game. Many digital artists make their art works like game using reactions of spectators. For examples, touching, sound, moving and so on. Many kinds of interactive control elements are used in interactive arts. Some interactive artworks are called game art, because they have strong disposition of games. Usually, we define game art when i®goal' and 'match' concept is used in interactive art. Interactive art and game are very similar genre. One of important things are spectators and they are immersed to the interactive artwork when the artwork has dispositions of games. Most digital artists design their artwork using their own philosophical thinking. However, we tried to apply the learning system that is related to the game to interactive artworks. In the artistic point of view, we analyzed i®Insight Learning', i®Reinforcement Learning',' Neural Network', and i®Fuzzy' in some digital interactive artworks. These learning systems are typical learning system in game fields.