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» Learning Dynamic Bayesian Networks
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DIGRA
2005
Springer
15 years 3 months ago
Realistic Agent Movement in Dynamic Game Environments
One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core...
Ross Graham, Hugh McCabe, Stephen Sheridan
COMPLEXITY
2008
84views more  COMPLEXITY 2008»
14 years 10 months ago
Evolutionary learning of small networks
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Thomas Filk, Albrecht von Müller
CASCON
2008
107views Education» more  CASCON 2008»
14 years 11 months ago
NetPal: a dynamic network administration knowledge base
Netpal is a web-based dynamic knowledge base system designed to assist network administrators in their troubleshooting tasks, in recalling and storing experience, and in identifyi...
Ashley George, Adetokunbo Makanju, Evangelos E. Mi...
IJON
2007
99views more  IJON 2007»
14 years 9 months ago
Criticality of avalanche dynamics in adaptive recurrent networks
In many studies of self-organized criticality (SOC), branching processes were used to model the dynamics of the activity of the system during avalanches. This mathematical simpliï...
Anna Levina, Udo Ernst, J. Michael Herrmann
DAGSTUHL
2009
14 years 11 months ago
Statistical Mechanics of On-line Learning
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
Michael Biehl, Nestor Caticha, Peter Riegler