Consider a distributed network of n nodes that is connected to a global source of “beats”. All nodes receive the “beats” simultaneously, and operate in lock-step. A scheme ...
Defining operational semantics for a process algebra is often based either on labeled transition systems that account for interaction with a context or on the so-called reduction ...
When human-multiagent teams act in real-time uncertain domains, adjustable autonomy (dynamic transferring of decisions between human and agents) raises three key challenges. First...
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
We propose a remedy to that part of the state-explosion problem for timed automata which is due to interleaving of actions. We prove the following quite surprising result: the unio...