Abstract

Modern Decision Support Systems (DSS) not only store large amounts of decision-relevant data, but also aim at assisting decision-makers in exploring the meaning of that data, so as to take decisions based on understanding. To this end, a distributed approach to the construction of DSS has become popular: decision-support agents are responsible for parts of the decision-making process in a (semi-)autonomous (individually) rational fashion. However, despite the advances in the field of agent-oriented software engineering, a principled approach to the design of multiagent systems for decision support is still to come.

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