This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
Today's complex applications must face the distribution of data and code among different network nodes. Computation in distributed contexts is demanding increasingly powerful...
Life-log systems have a wide range of usages from memory augmentation to health monitoring. Recent advances in pervasive devices and sensor networks enable us to create tools that...
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
We give a description of a Petri net-based framework for modelling and analysing biochemical pathways, which unifies the qualitative, stochastic and continuous paradigms. Each per...