Andreas Hinterreiter, Christian Steinparz, Moritz Schöfl, Holger Stitz, Marc Streit,
"Projection Path Explorer: Exploring Visual Patterns in Projected Decision-Making Paths"
, in ACM Transactions on Interactive Intelligent Systems, Vol. 11, Nummer 3?4, Association for Computing Machinery, Seite(n) 1-29, 2021, ISSN: 2160-6455
Original Titel:
Projection Path Explorer: Exploring Visual Patterns in Projected Decision-Making Paths
Sprache des Titels:
Englisch
Original Kurzfassung:
In problem-solving, a path towards a solutions can be viewed as a sequence of decisions. The decisions, made by humans or computers, describe a trajectory through a high-dimensional representation space of the problem. By means of dimensionality reduction, these trajectories can be visualized in lower-dimensional space. Such embedded trajectories have previously been applied to a wide variety of data, but analysis has focused almost exclusively on the self-similarity of single trajectories. In contrast, we describe patterns emerging from drawing many trajectories?for different initial conditions, end states, and solution strategies?in the same embedding space. We argue that general statements about the problem-solving tasks and solving strategies can be made by interpreting these patterns. We explore and characterize such patterns in trajectories resulting from human and machine-made decisions in a variety of application domains: logic puzzles (Rubik?s cube), strategy games (chess), and optimization problems (neural network training). We also discuss the importance of suitably chosen representation spaces and similarity metrics for the embedding.
Sprache der Kurzfassung:
Englisch
Journal:
ACM Transactions on Interactive Intelligent Systems
Forschungs-