Elements of information theory
Elements of information theory
Original Contribution: Stacked generalization
Neural Networks
The nature of statistical learning theory
The nature of statistical learning theory
Artificial Intelligence Review - Special issue on lazy learning
Automating supply-chain management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Multi-Agent coordination based on tokens: reduction of the bullwhip effect in a forest supply chain
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Integrated Multi-agent-based Supply Chain Management
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
Multiagent Collaborative Learning for Distributed Business Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Multiagent Collaborative Learning for Distributed Business Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
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This paper presents a multiagent architecture and methods for intelligent decision support in logistics processes. It extends current advanced prediction systems by providing the ability to combine history and situated reasoning. The contribution of the paper is threefold: first, a multi-agent architecture and learning algorithms are developed that enables us to combine background models learned from history data with context-related knowledge about the current situation; second, using a large real data set we show that adding situated knowledge actually improves the performance of a supply chain decision support system; and third, for our settings we evaluate the degree to which agent-assisted decision support is actually usable/sufficient to improve human decision-making and to support automated decision-making in dynamic supply network management scenarios.