Optimal resource scheduling in multiagent systems is a computationally challenging task, particularly when the values of resources are not additive. We consider the combinatorial ...
Dmitri A. Dolgov, Michael R. James, Michael E. Sam...
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks
Methods ...
— To generate plans for collecting data for data mining, an important problem is information volatility during planning: the information needed by the planning system may change ...
We add assignment operators to languages for epistemic actions, so that change of knowledge and change of facts can be combined in specifications of multi-agent system dynamics. ...
Hans P. van Ditmarsch, Wiebe van der Hoek, Barteld...
In dynamically changing environments a planning system does not have all the required information at the first place and the world state can change, rendering the original plan i...