Current work into Interaction Space Theory addresses the needs of remote workers who spend prolonged periods away from their own organisation to conduct projects on behalf of their clients. Often based at the client’s own office or project site, these remote workers can on occasion struggle to sustain visibility, identity with and a sense of belonging to their own organisation. Drawing upon emp...

Distributed systems are becoming increasingly dependent on network estimation, the ability to determine performance along one or more network paths. Producing quality estimates is challenging because network observations are noisy; this is particularly true in wide-area or mobile settings. Current systems depend on simple exponentially weighted moving average filters. These filters are either a...

Security is an obvious risk to active networking, as increased flexibility creates numerous opportunities for mischief. The point at which this flexibility is exposed, e.g., through the loading of code into network elements, must therefore be carefully crafted to ensure security. The Secure Active Network Environment (SANE) architecture provides a secure bootstrap process resulting in a module ...

Go is one notable board game where computer competence still trails behind that of human experts. In the past, neural-network-based approaches have shown promise. In this paper, the ESP variant of the SANE neuro-evolution algorithm was applied to go, and an alternate network architecture featuring subnetworks specialized for certain board regions was implemented. ESP produced simpler networks t...

This article demonstrates the advantages of a cooperative, coevolutionary search in di cult control problems. The SANE system coevolves a population of neurons that cooperate to form a functioning neural network. In this process, neurons assume di erent but overlapping roles, resulting in a robust encoding of control behavior. SANE is shown to be more e cient, more adaptive, and maintain higher...

This article demonstrates the advantages of a cooperative, coevolutionary search in difficult control problems. The symbiotic adaptive neuroevolution (SANE) system coevolves a population of neurons that cooperate to form a functioning neural network. In this process, neurons assume different but overlapping roles, resulting in a robust encoding of control behavior. SANE is shown to be more effi...

This article demonstrates the advantages of a cooperative, coevolutionary search in diicult control problems. The SANE system coevolves a population of neurons that cooperate to form a functioning neural network. In this process, neurons assume diierent but overlapping roles, resulting in a robust encoding of control behavior. SANE is shown to be more eecient, more adaptive, and maintain higher...