This paper presents an infrastructure for developing problem-based pervasive learning environments. Building such environments necessitates having many autonomous components deali...
This paper presents an architecture that makes it possible to construct dynamic systems capable of growing in dimension and adapting its knowledge to environmental changes. An arch...
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
The agent computing paradigm is rapidly emerging as one of the powerful technologies for the development of largescale distributed systems to deal with the uncertainty in a dynamic...
We develop a tableau-based decision procedure for the full coalitional multiagent temporal-epistemic logic of linear time CMATEL(CD+LT). It extends LTL with operators of common an...