deletions | additions       diff --git a/5.tex b/5.tex  index 8cf0673..2f652ff 100644  --- a/5.tex  +++ b/5.tex 
...
\begin{itemize}  \item \section  The TRADR scenario \item \section  Problem description & definition The use of AI allows for creating "intelligent" software, which is necessary in building robots that function as equivalent team members within a disaster response rescue team. A multi-agent system consists of a set of agents acting as a set of electronic partners that support both humans as well as robots, facilitating a seamless collaboration in a human-robot teaming. In order to create an effective multi-agent system, there is a need for the agents to share common knowledge about the domain, so that any time all agents' beliefs about the exact state of the world correspond. Besides having shared  beliefs, they must be able to communicate in a language that relates to their knowledge, and is understandable for all, in other words, a formal knowledge representation language to capture every situation. Third, the agents have to be able to infer new consequences about the world, a non-ambiguous reasoning technique working on the knowledge representation language established. 
...
the team level. A possible innovation in this area would be a system that does reasoning about the way information is presented to the user: achieving situation awareness in a most efficient way. The result would be a smart graphical user interface controlled by the agent, that, taking into account the user's cognitive load, task, the robot's autonomy level, and other relevant factors, can determine the necessary and sufficient amount and type of data to be displayed.  \item \section  My research focus topics and research questions\end{itemize}