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IDEAL
2009
Springer
15 years 11 months ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...
166
Voted
CONTEXT
2001
Springer
15 years 11 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
SIGSOFT
2000
ACM
15 years 11 months ago
Experience report: using RESOLVE/C++ for commercial software
Academic research sometimes suffers from the “ivory tower” problem: some ideas that sound good in theory do not necessarily work well in practice. An example of research that ...
Joseph E. Hollingsworth, Lori Blankenship, Bruce W...
ELPUB
1999
ACM
15 years 11 months ago
INDRENI - The Nepali Intranet. A Platform for Electronic Publishing and Information Sharing in Nepal
This paper describes the establishment of an intranet programme, ’Indreni’ , in Nepal. The article commences with a briefing on the state of telecommunications in developing cou...
Gaurab Raj Upadhaya
HPDC
1999
IEEE
15 years 11 months ago
An Evaluation of Linear Models for Host Load Prediction
This paper evaluates linear models for predicting the Digital Unix five-second load average from 1 to 30 seconds into the future. A detailed statistical study of a large number of...
Peter A. Dinda, David R. O'Hallaron