The ability to represent knowledge about space and its position therein is crucial for a mobile robot. To this end, topological and semantic descriptions are gaining popularity fo...
IEEE-LOM is a well-known metadata standard for describing learning resources. However, many problems are associated with this kind of representation, which include the number of f...
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Autosophy, an emerging new science, explains "Self-assembling Structures", such crystals or living trees, in mathematical terms. This research provides a new mathematica...