: Embedded Computer-based Systems are becoming highly complex and hard to implement because of the large number of concerns the designers have to address. These systems are tightly...
In this paper, we identify and analyze a set of issues that are more and more influencing the characteristics of today's complex software systems, and that distinguish them f...
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
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...
In recent years the development of automotive embedded devices has changed from an electrical and mechanical engineering discipline to a combination of software and electrical/mec...