A unified theory of performance in absolute identification tasks. The ability to identify stimuli is fundamentally important in human cognition and is studied in absolute identification tasks, where people must identify one out of a number of stimuli, varying on a single dimension, with an appropriate label. A remarkable finding is that people cannot reliably identify more than about seven different stimuli. This limit imposes severe practical restrictions on our ability to categorise stimuli an ....A unified theory of performance in absolute identification tasks. The ability to identify stimuli is fundamentally important in human cognition and is studied in absolute identification tasks, where people must identify one out of a number of stimuli, varying on a single dimension, with an appropriate label. A remarkable finding is that people cannot reliably identify more than about seven different stimuli. This limit imposes severe practical restrictions on our ability to categorise stimuli and constitutes a perplexing problem for cognitive theory. This project involves an international collaborative effort by five leading researchers in mathematical psychology to develop a comprehensive, integrative model of human performance in absolute identification tasks.
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Extending a family of garbage collectors. Garbage collection is a key component in the automatic management of storage in computer systems. It is an essential property of modern programming systems that frees the programmer from a significant error-prone task. Our interest is in garbage collection in distributed systems involving a number of networked computers. Using our novel construction methodology, we have jointly produced a family of collection algorithms that are significantly simpler and ....Extending a family of garbage collectors. Garbage collection is a key component in the automatic management of storage in computer systems. It is an essential property of modern programming systems that frees the programmer from a significant error-prone task. Our interest is in garbage collection in distributed systems involving a number of networked computers. Using our novel construction methodology, we have jointly produced a family of collection algorithms that are significantly simpler and more efficient than previous work. Here we wish to extend this family to operate effectively in a specific architecture increasingly favoured by many modern distributed high-performance computing systems.Read moreRead less