Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
Abstract—In future massively distributed service-based computational systems, resources will span many locations, organisations and platforms. In such systems, the ability to all...
We propose an evolutionary framework for studying agents that interact in electronic marketplaces. We describe how this framework could be used to study the dynamics of interactio...
We present a novel approach to knowledge-based automated one-shot multi-issue bilateral negotiation handling, in a homogeneous setting, both numerical features and non-numerical on...
Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciasc...
Abstract. We present a novel logic-based approach to automate multi-issue bilateral negotiation in e-marketplaces. In such frameworks issues to negotiate on can be multiple, interr...
Azzurra Ragone, Umberto Straccia, Tommaso Di Noia,...