Decision making in a real-world domain like logistics is challenging for an autonomous technical system like a software agent. In this paper the problem of planning in such an environment is addressed. Classical planning and probabilistic criteria-directed scheduling components are tied together by a metalevel control and supplemented by a sophisticated world model and a risk management module to form a plan-based decision support system for autonomous control of logistic entities. The system is designed to be integrated in a multi-agent based simulation for evaluation and will later be used to support autonoumous decision making in real-world logistic domains.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.