Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Design-to-Criteria builds custom schedules for agents that meet hard temporal constraints, hard resource constraints, and soft constraints stemming from soft task interactions or ...
In this paper, we discuss an approach that tries to blur the distinction between adaptive hypermedia and dynamic NLG-based hypermedia. The approach aims at finding an optimal trade...
ConTexts is an implementation of and proposed design model for an adaptable hypermedia system. ConTexts provides an easy yet powerful way to author the interactive, adaptable effec...
The paper is a short tutorial on the multiscale differential geometric possibilities of the front-end visual receptive fields, modeled by Gaussian derivative kernels. The paper is ...