Issues in Multiagent Resource Allocation Yann Chevaleyre, Paul E. Dunne, Ulle Endriss,
Jerome Lang, Michel Lemaitre, Nicolas Maudet, Julian Padget, Steve Phelps, Juan A …

With an increasing number of applications in the context of multi-agent systems, automated
negotiation is a rapidly growing area. Written by top researchers in the field, this state-of-the …

Abstract The European Commission's eEurope initiative aims to bring every citizen, home,
school, business and administration online to create a digitally literate Europe. The value …

A multiagent system may be thought of as an artificial society of autonomous software
agents and we can apply concepts borrowed from welfare economics and social choice …

This paper describes a new multi-player computer game, Colored Trails (CT), which may be
played by people, computers and heterogeneous groups. CT was designed to enable …

The most natural way of thinking about negotiation is probably a situation whereby each of
the parties involved initially make a proposal that is particularly beneficial to themselves and …

The use of software agents for automatic contract negotiation in e-commerce and e-trading
environments has been the subject of considerable recent interest. A widely studied abstract …

In this work, we design an Artificially Intelligent Task Allocator (AITA) that proposes a task
allocation for a team of humans. A key property of this allocation is that when an agent with …

We briefly review previous work on the welfare engineering framework where autonomous
software agents negotiate on the allocation of a number of discrete resources, and point out …

A multiagent system may be regarded as an artificial society of autonomous software agents.
Welfare economics provides formal models of how the distribution of resources amongst the …