— Event-driven programming is a popular paradigm for programming sensor nodes. It is based on the specification of actions (also known as event handlers) which are triggered by ...
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
This paper examines some models of FSMs that can be implemented in dynamically and statically reconfigurable FPGAs. They enable circuits for the FSMs to be constructed in such a wa...
Intrusion-tolerant replication enables the construction of systems that tolerate a finite number of malicious faults. An arbitrary number of faults can be tolerated during system ...