Emotion in Future Intelligent Machines
  Over the past decades, research in cognitive and affective neuroscience has
emphasized that emotion is crucial for human intelligence and in fact
inseparable from cognition. Concurrently, there has been a significantly
growing interest in simulating and modeling emotion in robots and artificial
agents. Yet, existing models of emotion and their integration in cognitive
architectures remain quite limited and frequently disconnected from
neuroscientific evidence. We argue that a stronger integration of emotion in
robot models is critical for the design of intelligent machines capable of
tackling real world problems. Drawing from current neuroscientific knowledge,
we provide a set of guidelines for future research in artificial emotion and
intelligent machines more generally.
