We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
In this paper, we describe the development of an Embodied Conversational Agent (ECA) implementing the concept of a companion, i.e. an agent supporting the persistent representatio...
Marc Cavazza, Cameron Smith, Daniel Charlton, Li Z...
This paper explores the design space of MMU caches that accelerate virtual-to-physical address translation in processor architectures, such as x86-64, that use a radix tree page t...
Businesses today are requiring higher levels of creativity and innovation in the face of rapid change, fierce competition and increasingly complex markets. Nowhere is the more obv...
The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-b...