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KBSE
2008
IEEE
16 years 1 months ago
Inferring Finite-State Models with Temporal Constraints
Finite state machine-based abstractions of software behaviour are popular because they can be used as the basis for a wide range of (semi-) automated verification and validation ...
Neil Walkinshaw, Kirill Bogdanov
CLEIEJ
2006
88views more  CLEIEJ 2006»
15 years 6 months ago
A Stochastic Concurrent Constraint Based Framework to Model and Verify Biological Systems
Concurrent process calculi are powerful formalisms for modelling concurrent systems. The mathematical style underlying process calculi allow to both model and verify properties of...
Carlos Olarte, Camilo Rueda
ML
2006
ACM
122views Machine Learning» more  ML 2006»
15 years 6 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
MICRO
2003
IEEE
101views Hardware» more  MICRO 2003»
15 years 12 months ago
Macro-op Scheduling: Relaxing Scheduling Loop Constraints
Ensuring back-to-back execution of dependent instructions in a conventional out-of-order processor requires scheduling logic that wakes up and selects instructions at the same rat...
Ilhyun Kim, Mikko H. Lipasti
FLAIRS
2004
15 years 8 months ago
Constraint Processing with Reactive Agents
The integration of methods of Constraint Programming and Multi-Agent-Systems is discussed in this paper. We describe different agent topologies for Constraint Satisfaction Problem...
Georg Ringwelski, Richard J. Wallace