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» Modelling Bounded Rationality Using Evolutionary Techniques
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ENTCS
2006
134views more  ENTCS 2006»
13 years 9 months ago
Computing Over-Approximations with Bounded Model Checking
Bounded Model Checking (BMC) searches for counterexamples to a property with a bounded length k. If no such counterexample is found, k is increased. This process terminates when ...
Daniel Kroening
CORR
2006
Springer
124views Education» more  CORR 2006»
13 years 9 months ago
Linear Encodings of Bounded LTL Model Checking
Abstract. We consider the problem of bounded model checking (BMC) for linear temporal logic (LTL). We present several efficient encodings that have size linear in the bound. Furthe...
Armin Biere, Keijo Heljanko, Tommi A. Junttila, Ti...
ATAL
2005
Springer
14 years 2 months ago
An integrated framework for adaptive reasoning about conversation patterns
We present an integrated approach for reasoning about and learning conversation patterns in multiagent communication. The approach is based on the assumption that information abou...
Michael Rovatsos, Felix A. Fischer, Gerhard Wei&sz...
PPSN
1994
Springer
14 years 1 months ago
RPL2: A Language and Parallel Framework for Evolutionary Computing
The Reproductive Plan Language 2 (RPL2) is an extensible interpreted language for writing and using evolutionary computing programs. It supports arbitrary genetic representations,...
Patrick D. Surry, Nicholas J. Radcliffe
JMLR
2002
115views more  JMLR 2002»
13 years 8 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger