In order to make large-scale multi-agent systems reliable, we propose an adaptive application of replication strategies. Critical agents are replicated to avoid failures. As criticality of agents may evolve during the course of computation and problem solving, we need to dynamically and automatically adapt the number of replicas of agents, in order to maximize their reliability and availability...

Experiential game based learning has proven effective at engaging and enabling learners especially in medical education where the volume of the curriculum is as severe as its criticality. A mature and promising ICT tool for medical education is the Virtual Patient (VP). Web-based virtual patients have been established for quite some time, while efforts have been made to create content in multi ...

Task-level reconfiguration techniques in automotive applications aim to reallocate tasks to computation cores during failures to guarantee that the desired functionality is still delivered. We consider a class of mixed-criticality asymmetric multi-core systems inspired by our collaboration with General Motors, for which we automatically synthesize task-level reconfiguration services to reduce t...

This report provides an overview of the discussions, the program and the outcomes of the second Dagstuhl Seminar on Mixed Criticality on Multicore/Manycore Platforms. The seminar brought together researchers working on mixed criticality real-time applications, industrialists from the aerospace, railway, and automotive industries, and experts in certification. Seminar March 26–31, 2017 – http://...

Loads that miss in L1 or L2 caches, and are waiting for their data at the head of the ROB, cause significant slow down in the form of commit stalls. We identify that most of these commit stalls are caused by a small set of loads, referred to as LIMCOS (Loads Incurring Majority of COmmit Stalls). We propose simple history-based classifiers that track commit stalls suffered by loads to help us id...

This paper summarises the Agent Contest 2007 which was organized in association with ProMAS’07. The aim of this contest is to stimulate research in the area of multi-agent systems by identifying key problems and collecting suitable benchmarks that can serve as milestones for evaluating new tools, models, and techniques to develop multi-agent systems. The first two editions of this contest were ...

Many of the works of text classification involve the attribution of each text a single class label from a predefined set of classes, usually small and flat organized (flat classification). However, there are more complex classification problems in which we can assign to each text more than one class (multi-label classification), that can be organized in a hierarchical structure (hierarchical cl...