Planning For Autonomous Decision-Making In A Logistic Scenario

Abstract

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.

Dynamic Decision Making on Embedded Platforms in Transport Logistics – A Case Study

“…Several approaches and systems have been proposed and implemented to address the problem of timing constraints but still include major shortcomings. A discussion of these approaches and a potential solution for the logistics domain can be found in [24].…”

The Benefits of Embedded Intelligence – Tasks and Applications for Ubiquitous Computing in Logistics

“…The most common environment to test and implement agents is the JavaAgentDEvelopment [6] framework (JADE). Each participant of the supply chain, like freight items, vehicles, sensors, traffic and logistic broker services can be represented by an agent [7].…”