Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
Simon’s The Sciences of the Artificial is rightly influential as a founding text in design research in the information systems field (IS). Simon’s contributions in the same vo...
— Emotion recognition and adequate reactions are a crucial part of human communication and hence should also be considered for interactions between humans and robots. In this pap...
Natascha Esau, Lisa Kleinjohann, Bernd Kleinjohann
The management of IT landscapes consisting of thousands of business applications, different middleware systems, and supporting various business processes is a challenge for modern...