We propose a methodology and power models for an accurate high-level power estimation of physically partitioned and power-gated SRAM arrays. The models offer accurate estimation o...
Minh Quang Do, Mindaugas Drazdziulis, Per Larsson-...
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
We introduce the Consensual N-Player Prisoner’s Dilemma as a large-scale dilemma. We then present a framework for cooperative consensus formation in large-scale MAS under the N-P...
Ontology-based approaches to situation awareness have gained increasing popularity in recent years. However, most current approaches face two inherent problems. First, they lack su...
Norbert Baumgartner, Werner Retschitzegger, Wielan...
Abstract. This paper investigates the processes used by an evolved, embodied simulated agent to adapt to large disruptive changes in its sensor morphology, whilst maintaining perfo...
Peter Fine, Ezequiel A. Di Paolo, Eduardo Izquierd...