Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the
joint behaviors of agents with some degree of autonomy and the complexities arising from …

For a network of spiking neurons with reasonable postsynaptic potentials, we derive a
supervised learning rule akin to traditional error-back-propagation, SpikeProp and show how to …

This paper presents an agent strategy for complex bilateral negotiations over many issues
with inter-dependent valuations. We use ideas inspired by graph theory and probabilistic …

We introduce the concept of fruitful regions in a dynamic routing context: regions that have a
high potential of generating loads to be transported. The objective is to maximise the …

Let G=< V, E> be a directed graph, G*=< V, E*> its transitive closure and G-=< V, E-> its
transitive reduction (cf.[1]). Let E* and E-be represented by adjacency matrices. Suppose edges …

In this paper, we present a novel system for selling bundles of news items. Through the system,
customers bargain with the seller over the price and quality of the delivered goods. The …

Due to the rapid growth of electronic environments (such as the Internet) much research is
currently being performed on autonomous trading mechanisms. This report contains an …

A well-known result of Tarjan (cf.[10]) states that a program of up to n UNION and m FIND
instructions can be executed in O (n--mo (m, n)) time on a collection of n elements, where o (m, …

Decommitment is the action of foregoing a contract for another (superior) offer. It has been
shown that, using decommitment, agents can reach higher utility levels in case of negotiations …

We consider the online problem of scheduling patients with urgencies and preferences on
hospital resources with limited capacity. To solve this complex scheduling problem effectively …