The ACT-R cognitive theory models forgetting in general with a constant “decay due to passage of time” parameter. However, this is not sufficient to predict learning for frequently executed tasks in dense arrangements of items. Prominent examples are twodimensional location learning in finding keys on a keyboard or clicking on items on a web page or in a graphical user interface. Our work prese...

Information that has been recently perceived or remembered can bias current processing. This has been viewed as both a corrupting (e.g., proactive interference in short-term memory) and stabilizing (e.g., serial dependence in perception) phenomenon. We hypothesize that this bias is a generally adaptive aspect of brain function that leads to occasionally maladaptive outcomes.

Established memories may interfere with the encoding of new memories, particularly when existing and new memories overlap in content. By manipulating levels of hippocampal neurogenesis, here we show that neurogenesis regulates this form of proactive interference. Increasing hippocampal neurogenesis weakens existing memories and, in doing so, facilitates the encoding of new, conflicting (but not...

In the future, wireless access networks will diversify, and they are quite different in their characteristics. We focus on data transmission rate and area coverage, and assume overlay network composed of hot-spotted network and cellular network. Hot-spotted network indicates highspeed wireless network and very limited communication area due to its spotted cell. A mobile user cannot continuously...

We present a mathematical framework for quantifying the impact of node mobility on the overhead of proactive routing protocols in mobile ad hoc networks (MANETs). We focus on MANETs in which nodes move randomly. The analytical model we introduce models signaling overhead as a function of stability of topology, and characterizes the statistical distribution of topology evolutions. Although we co...

Human users dealing with multiple objectives in a complex environment, e.g., military planners or emergency response operators, are subject to a high level of cognitive workload. When this load becomes an overload, it can severely impair the quality of the plans created. To address these issues, intelligent assistant systems have been rigorously studied in both the AI and the intelligent system...