This paper presents a knowledge approach to designing team training systems using intelligent agents. We envision a computer-based training system in which teams are trained by pu...
Jianwen Yin, Michael S. Miller, Thomas R. Ioerger,...
We identify the complexity of (finite model) reasoning in the DL SROIQ to be N2ExpTime-complete. We also prove that (finite model) reasoning in the DL SR--a fragment of SROIQ witho...
Intentions have been widely studied in AI, both in the context of decision-making within individual agents and in multiagent systems. Work on intentions in multi-agent systems has...
In this paper, we improve and extend the MaSE methodology to bridge the gaps in this methodology. First, we propose an improvement process and, based on this process, we report th...
Shiva Vafadar, Ahmad Abdollahzadeh Barfouroush, Mo...
Most graph visualization techniques focus on the structure of graphs and do not offer support for dealing with node attributes and edge labels. To enable users to detect relations...