@INCOLLECTION {Amirkhanov-2014-HSH,
author = "Artem Amirkhanov and Stefan Bruckner and Christoph Heinzl and Meister Eduard Gr{\"o}ller",
title = "The Haunted Swamps of Heuristics: Uncertainty in Problem Solving",
booktitle = "Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization",
publisher = "Springer",
year = "2014",
editor = "Min Chen and Hans Hagen and Charles D. Hansen and Christopher R. Johnson and Arie E. Kaufman",
series = "Mathematics and Visualization",
chapter = "5",
pages = "51--60",
month = "sep",
abstract = "In scientific visualization the key task of research is the provision  of insight into a problem. Finding the solution to a problem may  be seen as finding a path through some rugged terrain which contains  mountains, chasms, swamps, and few flatlands. This path - an algorithm  discovered by the researcher - helps users to easily move around  this unknown area. If this way is a wide road paved with stones it  will be used for a long time by many travelers. However, a narrow  footpath leading through deep forests and deadly swamps will attract  only a few adventure seekers. There are many different paths with  different levels of comfort, length, and stability, which are uncertain  during the research process. Finding a systematic way to deal with  this uncertainty can greatly assist the search for a safe path which  is in our case the development of a suitable visualization algorithm  for a specific problem. In this work we will analyze the sources  of uncertainty in heuristically solving visualization problems and  will propose directions to handle these uncertainties.",
pdf = "pdfs/Amirkhanov-2014-HSH.pdf",
images = "images/Amirkhanov-2014-HSH.jpg",
thumbnails = "images/Amirkhanov-2014-HSH.png",
doi = "10.1007/978-1-4471-6497-5_5",
keywords = "uncertainty, heuristics, problem solving",
owner = "bruckner",
timestamp = "2014.12.30",
url = "//www.springer.com/mathematics/computational+science+%26+engineering/book/978-1-4471-6496-8"
}