We propose a decentralized belief propagation-based method, PD-LBP, for multi-agent task
allocation in open and dynamic grid and cloud environments where both the sets of agents …

We consider the problem of allocating networked resources in dynamic environment, such
as cloud computing platforms, where providers strategically price resources to maximize …

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 …

This article is concerned with the multitask multiagent allocation problem via many-objective
optimization for multiagent systems (MASs). First, a novel layered MAS model is constructed …

In electronic commerce markets where selfish agents behave individually, agents often have
to acquire multiple resources in order to accomplish a high level task with each resource …

In artificial intelligence literature there is a rising interest in studying strategic interaction
situations. In these situations a number of rational agents act strategically, being in …

Existing work on automated negotiations has mainly focused on bilateral negotiations with
linear utility functions. It is often assumed that all possible agreements and their utility values …

The parties involved in build-operate-transfer (BOT) projects have conflicting financial
interests regarding the value of concessionary items, including concession period length …

We study the problem of designing posted-price mechanisms in order to sell a single unit of
a single item within a finite period of time. Motivated by real-world problems, such as, eg …

The challenge of construction procurement negotiation arises partly because each
negotiation side has private information on their payoff function but is uninformed of the …