This paper describes a new force directed global placement algorithm that exploits and extends techniques from two leading placers, Force-directed [12] [26] and Mongrel [22]. It c...
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
We propose a new objective for network research: to build a fundamentally different sort of network that can assemble itself given high level instructions, reassemble itself as re...
David D. Clark, Craig Partridge, J. Christopher Ra...
Effective coordination of robots, agents and people promises to improve the safety, robustness and quality with which shared goals are achieved by harnessing the highly heterogene...
Paul Scerri, David V. Pynadath, W. Lewis Johnson, ...
A number of industrial applications advocate the use of time-triggered approaches for reasons of predictability, distribution, and particular constraints such as jitter or end-to-...