Players in team sports cooperate in a coordinated manner to achieve common goals. Automated players in academic and commercial team sports simulations have traditionally been driven by complex externally motivated value functions with heuristics based on knowledge of ga...

We present a study on morphological traits of evolved modular robots. We note that the evolutionary search space –the set of obtainable morphologies– depends on the given representation and reproduction operators and we propose a framework to assess morphological traits...

Many modern actively secure multi-party computation protocols make use of a function- and input-independent pre-processing phase. This pre-processing phase is tasked with producing some form of correlated randomness and distributing it to the parties. Whilst the “online...

Process mining offers a variety of techniques for analyzing process execution event logs. Although process discovery algorithms construct end-to-end process models, they often have difficulties dealing with the complexity of real-life event logs. Discovered models may c...

Reuse is a common and often-advocated software development practice. Significant efforts have been invested into facilitating it, leading to advancements such as software forges, package managers, and the widespread integration of open source components into proprietary...

In this paper we consider a hybrid possibilistic-probabilistic alternative approach to Probabilistic Preference Logic Networks (PPLNs). Namely, we first adopt a possibilistic model to represent the beliefs about uncertain strict preference statements, and then, by means...

International audience; Several methods have been proposed recently to learn spa-tiotemporal models of shape progression from repeated observations of several subjects over time, i.e. a longitudinal data set. These methods summarize the population by a single common tra...

International audience; With the rapid advancements of sensor technologies and mobile computing, Mobile Crowd-Sensing (MCS) has emerged as a new paradigm to collect massive-scale rich trajectory data. Nomadic sensors empower people and objects with the capability of rep...

International audience; We study the Horn theories of Kleene algebras and star continuous Kleene algebras, from the complexity point of view. While their equational theories coincide and are PSpace-complete, their Horn theories differ and are undecidable. We characteris...

Part 4: Cloud Resources; International audience; Several different algorithms have been proposed in recent years for the dynamic optimization of resource allocation in virtualized data centers. The proposed methods range from fast and simple heuristics to exact algorith...