Gillian Hayes

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We do not exist alone. Humans and most other animal species live in societies where the behaviour of an individual influences and is influenced by other members of the society. Within societies, an individual learns not only on its own, through classical conditioning and reinforcement, but to a large extent through its conspecifics, by observation and(More)
Adaptation to their environment is a fundamental capability for living agents, from which autonomous robots could also benefit. This work proposes a connectionist architecture, DRAMA, for dynamic control and learning of autonomous robots. DRAMA stands for dynamical recurrent associative memory architecture. It is a time-delay recurrent neural network, using(More)
Renal brush border membrane sodium/phosphate (Na/Pi)-cotransport activity is inhibited by hormonal mechanisms involving activation of protein kinases A and C. The recently cloned rat renal Na/Pi cotransporter (NaPi-2) contains several protein kinase C but no protein kinase A consensus sites [17, 20]. In the present study we have expressed wild type and(More)
For mobile robots, as well as other learning systems, the ability to highlight unexpected features of their environment – novelty detection – is very useful. One particularly important application for a robot equipped with novelty detection is inspection, highlighting potential problems in an environment. In this paper two novelty filters, both of which are(More)
This paper outlines some ideas as to how robot learning experiments might best be designed. There are three principal ndings: (i) in order to evaluate robot learners we must employ multiple evaluation methods together; (ii) in order to measure in any absolute way the performance of a learning algorithm we must characterise the complexity of the underlying(More)
Imitation and communication behaviours are important means of interaction between humans and robots. In experiments on robot teaching by demonstration, imitation and communication behaviours can be used by the demonstrator to drive the robot's attention to the demonstrated task. In a children game, they play an important role to engage the interaction(More)
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing states of the world. This confounding of states, also referred to as perceptual aliasing, has serious effects on the ability of reinforcement learning algorithms to learn stable policies.(More)