Scientific computing for the cognitive sciences

The methodology of Scientific Computing is widely regarded as he third pillar of science, complementary to experiment and thery. While it triggered countless breakthroughs and innovations in echnology, engineering, and the natural sciences, a combination ith cognitive sciences is yet a rather young field full of opporunities. This special issue is meant to stimulate interdisciplinary esearch in the Cognitive Sciences, based on state-of-the-art methds in Scientific Computing. The focus of this special issue is on the modeling, simulation, ptimization, and visualization of processes related to the Cogitive Sciences. Topics of interest include, but are not limited to, easurement and performance in complex problem solving, psyhological aspects of method-based decision making, perception nd creation of art works, emotional body language in dynamic ovements, artistic expressions in motions, perception and action n complex environments, learning algorithms for natural and articial systems, numerical cognition and functions of the brain, e.g., earning and memory. The idea for the Special Issue dates back to the Symposium n Scientific Computing in the Cognitive Sciences which has been rganized by the three guest editors at the Internationales Wisenschaftsforum Heidelberg (IWH) in fall 2010. The Symposium ttracted around 50 participants from Cognitive Sciences, Psycholgy, Scientific Computing, Mathematics and Robotics and consisted f oral and poster presentations as well as interdisciplinary discussons. The Special Issue was announced in an open call, not limited o Symposium Participants. Twelve papers have been submitted ollowing this call, seven of which have been selected in a careful eview process.