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NIPS
2003
15 years 8 months ago
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Marc Toussaint
AAAI
2000
15 years 8 months ago
An Iterative Algorithm for Synthesizing Invariants
We present a general algorithm for synthesizing state invariants that speed up automated planners and have other applications in reasoning about change. Invariants are facts that ...
Jussi Rintanen
WM
2003
15 years 8 months ago
On the role of a Librarian Agent in Ontology-based Knowledge Management Systems
: In this paper, we present an agent-based approach for the improvement of searching in an ontology-based knowledge management system. The system implements a libraryscenario in wh...
Nenad Stojanovic
CCCG
1996
15 years 8 months ago
Heuristic Motion Planning with Many Degrees of Freedom
We present a heuristic approach to the geometric motion planning problem with the aim to quickly solve intuitively simple problems. It is based on a divide-and-conquer path search...
Thomas Chadzelek, Jens Eckstein, Elmar Schöme...
AUTOMATICA
2007
95views more  AUTOMATICA 2007»
15 years 6 months ago
Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
This paper extends previous work on joint input and state estimation to systems with direct feedthrough of the unknown input to the output. Using linear minimum-variance unbiased ...
Steven Gillijns, Bart De Moor