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» Genetic Simulation for Finite State Machine Identification
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DEDS
2002
119views more  DEDS 2002»
14 years 11 months ago
Diagnosing Discrete-Event Systems: Extending the "Diagnoser Approach" to Deal with Telecommunication Networks
Abstract. Detection and isolation of failures in large and complex systems such as telecommunication networks are crucial and challenging tasks. The problem considered here is that...
Laurence Rozé, Marie-Odile Cordier
EWRL
2008
15 years 1 months ago
Optimistic Planning of Deterministic Systems
If one possesses a model of a controlled deterministic system, then from any state, one may consider the set of all possible reachable states starting from that state and using any...
Jean-François Hren, Rémi Munos
AIIDE
2006
15 years 1 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
CONNECTION
2004
94views more  CONNECTION 2004»
14 years 11 months ago
Evolving internal memory for T-maze tasks in noisy environments
In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
DaeEun Kim
ICSE
2003
IEEE-ACM
15 years 11 months ago
Modular Verification of Software Components in C
We present a new methodology for automatic verification of C programs against finite state machine specifications. Our approach is compositional, naturally enabling us to decompos...
Sagar Chaki, Edmund M. Clarke, Alex Groce, Somesh ...