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 [2]. In this paper we outline an abstract multiagent architecture that provides design guidelines for this kind of systems. We sketch its application to two multiagent DSS for different realworld transportation management problems and summarise the lessons learnt from this enterprise.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
