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» Tackling Large State Spaces in Performance Modelling
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IWANN
1999
Springer
14 years 1 months ago
A Modular Attractor Model of Semantic Access
This paper presents results from lesion experiments on a modular attractor neural network model of semantic access. Real picture data forms the basis of perceptual input to the mod...
William Power, Ray J. Frank, D. John Done, Neil Da...
AAAI
2000
13 years 10 months ago
Back to the Future for Consistency-Based Trajectory Tracking
Given a model of a physical process and a sequence of commands and observations received over time, the task of an autonomous controller is to determine the likely states of the p...
James Kurien, P. Pandurang Nayak
EUROPAR
2007
Springer
14 years 25 days ago
Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers
To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs o...
Hans E. Plesser, Jochen M. Eppler, Abigail Morriso...
AROBOTS
1999
104views more  AROBOTS 1999»
13 years 8 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
ICCS
2005
Springer
14 years 2 months ago
High-Fidelity Simulation of Large-Scale Structures
Active structures capable of responding to external stimulii represent the emerging frontier in structural design. Robust and real-time sensing, control, and actuation pose fundame...
Christoph Hoffmann, Ahmed H. Sameh, Ananth Grama