SBART 2.4: An IEC Tool for Creating Two-Dimensional Images, Movies and Collages

Abstract

In 1991, Karl Sims developed a system that enables users to create abstract drawings merely by selecting their favorite images from a computer screen [1]. It was very innovative and great creative impetus to both artists and computer scientists. I was one of computer scientists who planned to implement a similar system to explore the further possibilities of this new technology [2]. I began developing SBART (Simulated Breeding for ART) in 1993 as a successor to Karl Sims's system, with certain unique extensions. Such systems have become recognized as artistic applications of interactive evolutionary computing (IEC) [3]. As in other IEC systems, SBART's main mechanisms are an iteration of visualization, selection by the user and genetic operation. The window, or " eld window," that appears on the screen at the beginning consists of 20 sub-windows, which display individual images of the current population (see Color Plate A No. 3) [4].The following sections describe the distinctive features of SBART 2.4, including genotype representation, multi-eld user interface and facilities for creating collages and short movies.

Modelling Video Games’ Landscapes by Means of Genetic Terrain Programming - A New Approach for Improving Users’ Experience

“…It allows the creation of movies by replacing (x, y, 0) with (x, y, t), where t is a time variable. The SBART 's functions were expanded to create a collage [15].…”

“…1. While in [14,15] the mathematical equations are used to calculate both the pixel value and its coordinates, in GenTP only the height will be calculated. The (x, y) coordinates will be dictated by the matrix position occupied by the height value.…”

Oscillatory Synthetic Biological System Construction Using Interactive Evolutionary Computations

“…The use of Interactive Evolutionary Computation (IEC) is proposed here as a feedback method to accurately reflect biological properties that are difficult to quantify or to predict based on experience. IEC directly applies qualitative evaluation by the user for optimization based on implicit indices such as personal preferences and emotions that are difficult to explicitly express on a computer; it is used in various situations such as creativity support systems in the graphic arts (Unemi, 2000) and musical composition (Ando and Iba, 2007), as well as for optimization of engineering problems including speech processing (Watanabe and Takagi, 1995) and data mining (Terano and Inada, 2003). The goal of this study is to propose a method that uses IEC to efficiently design practical artificial genetic circuits.…”

An Experimental Comparative Study for Interactive Evolutionary Computation Problems

“…IEC techniques can be applied to different fields, such as digital treatment of images [6], composition of musical works [7], automotive design [8], automatic design of figures [9], general artistic design [10], [11], for example, the design of sculptures [12], or generation of gestures in 3D figures, aimed at virtual worlds, pictures or games, [13]. A more detailed sort of examples can be found in a complete survey about IEC [14].…”