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» Solving architectural modelling problems using knowledge
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CAI
2006
Springer
15 years 17 days ago
AgentOWL: Semantic Knowledge Model and Agent Architecture
MAS is a powerful paradigm in nowadays distributed systems, however its disadvantage is that it lacks the interconnection with semantic web standards such as OWL. The aim of this a...
Michal Laclavik, Zoltan Balogh, Marian Babik, Ladi...
91
Voted
IJAR
2006
98views more  IJAR 2006»
15 years 15 days ago
A forward-backward Monte Carlo method for solving influence diagrams
Although influence diagrams are powerful tools for representing and solving complex decisionmaking problems, their evaluation may require an enormous computational effort and this...
Andrés Cano, Manuel Gómez, Seraf&iac...
ECML
1991
Springer
15 years 4 months ago
A Multistrategy Learning Approach to Domain Modeling and Knowledge Acquisition
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
Gheorghe Tecuci
115
Voted
ICANN
2009
Springer
15 years 5 months ago
Scalable Neural Networks for Board Games
Learning to solve small instances of a problem should help in solving large instances. Unfortunately, most neural network architectures do not exhibit this form of scalability. Our...
Tom Schaul, Jürgen Schmidhuber
96
Voted
CAV
2003
Springer
108views Hardware» more  CAV 2003»
15 years 5 months ago
Linear Invariant Generation Using Non-linear Constraint Solving
Abstract. We present a new method for the generation of linear invariants which reduces the problem to a non-linear constraint solving problem. Our method, based on Farkas’ Lemma...
Michael Colón, Sriram Sankaranarayanan, Hen...