In the challenges faced by organisations in the area of knowledge management, there is clearly a role for information and communications technologies in supporting the exploitatio...
In previous work, we showed how structural information can be used to efficiently generate the state-space of asynchronous systems. Here, we apply these ideas to symbolic CTL model...
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
We propose a new method to control memory resources by static analysis. For this, we introduce the notion of sup-interpretation which bounds from above the size of function outputs...
In this paper we present a novel approach to model the search space for optimal set data types in network component realisations. The main objective is to arrive at power efficie...