Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
A formal device is said to be adaptive whenever its behavior changes dynamically, in a direct response to its input stimuli, without interference of external agents, even its user...
High quality is one of the critical elements contributing to Web service’s success. Monitoring events that are sensitive to quality of Web services is thus an important issue fo...
Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
: In ubiquitous application scenarios, the information (processing) needs of nomadic users often cannot be satisfied by a set of pre-installed processes like in common workflow sys...
Klaus Haller, Michelle Ackermann, Claudio Munari, ...