Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
— Biological networks are formalized summaries of our knowledge about interactions among biological system components, like genes, proteins, or metabolites. From their global top...
The interoperability among distributed and autonomous systems is the ultimate challenge facing the semantic web. Heterogeneity of data representation is the main source of problem...
This paper examines capacity limits in mental animation of static diagrams of mechanical systems and interprets these limits within current theories of working memory. I review emp...
Though many tools are available to help programmers working on change tasks, and several studies have been conducted to understand how programmers comprehend systems, little is kn...