Catastrophic risks result in high losses in agriculture. To cope with such losses farmers need
to apply risk management strategies to balance their profits and risks. Therefore risk …

A review of the outcome of many information technology (IT) projects reveals that they fail to
meet the pre-specified project objectives of scope, time and budget. Despite well …

The management of risk is considered a key discipline by the Project Management Institute
and the Association for Project Management. However, knowledge of what needs to be …

The RoboCup simulator competition is one of the most challenging international proving
grounds for contemporary AI research. Exactly because of the high level of complexity and a …

Multi-criteria decision aid (MCDA) methods have been around for quite some time. However,
the elicitation of preference information in MCDA processes, and in particular the lack of …

Since the beginning of multiagent systems research, it has been argued that theories from
the realm of the social sciences can be of help when building multiagent systems, and to …

This article presents algorithms for computing optima in decision trees with imprecise
probabilities and utilities. In tree models involving uncertainty expressed as intervals and/or …

The nature of much information available to decision makers is vague and imprecise, be it
information for human managers in organisations or for process agents in a distributed …

The purpose of this work is to provide theoretical foundations of, as well as some
computational aspects on, a theory for analysing decisions under risk, when the available …

This article summarizes the bidding algorithms developed for the on-line Trading Agent
Competition held in July, 2000 in Boston. At its heart, the article describes 12 of the 22 agent …