The current study examined the relations between working memory capacity, attention control, and general fluid intelligence. Participants performed multiple measures of each construct and confirmatory factor analysis and structural equation modeling was used to analyze the data. The results suggested that attention control is an important component of the working memory and general fluid intell...

One of the major adaptations during the evolution of Homo sapiens was an increase in brain size. Here we present evidence that a significant and substantial proportion of variation in brain size may be related to changes in temperature. Based on a sample of 109 fossilized hominid skulls, we found that cranial capacities were highly correlated with paleoclimatic changes in temperature, as indexe...

We extend our earlier study of buffer requirements of TCP over ABR in two directions. First, we study the performance of TCP over ABR in an ATM backbone. On the backbone, the TCP queues are at the edge router and not inside the ATM network. The router requires buffer equal to the sum of the receiver window sizes of the participating TCP connections. Second, we introduce various patterns of VBR ...

The present study examines two varieties of working memory (WM) capacity task: visual arrays (i.e., a measure of the amount of information that can be maintained in working memory) and complex span (i.e., a task that taps WM-related attentional control). Using previously collected data sets we employ confirmatory factor analysis to demonstrate that visual arrays and complex span tasks load on s...

When the amount of information to be dealt with exceeds people’s short-term memory capacity, they must resort to the sampling of information. In the present study we show that, under conditions of cognitive overload (which could result from decision-making under stress, time constraints or information abundance), individuals exhibit systematic differences in estimating variance. Moreover, these...

Simulation can be used to estimate a cycle time-throughput (CT-TH) curve of a manufacturing or service system model at several different traffic intensities. Cycle time variance increases rapidly as throughput approaches system capacity; thus, naïve sampling, which expends an equal amount of simulation effort at each traffic intensity being considered, leads to widely differing precision along ...

In this paper, a token-controlled network with exhaustive service strategy is analyzed. The mean and variance of service time of a station, and the mean token rotation time on the network are derived under the condition that the buffer capacity of each station is individually finite. For analysis, an extended stochastic Petri-net model of a station is presented. Then, by analyzing the model, th...

Variational methods that rely on a recognition network to approximate the posterior of directed graphical models offer better inference and learning than previous methods. Recent advances that exploit the capacity and flexibility in this approach have expanded what kinds of models can be trained. However, as a proposal for the posterior, the capacity of the recognition network is limited, which...

We extend our earlier studies of bu er requirements of TCP over ABR [10, 11, 12] in two directions. First, we study the performance of TCP over ABR in an ATM backbone. On the backbone, the TCP queues are at the edge router and not inside the ATM network. The router requires bu er equal to the sum of the receiver window sizes of the participating TCP connections. Second, we introduce various pat...

The purpose of the current review is to examine individual differences in i ntelligence and working memory capacity. The emphasis is on latent variable models and theoretical frameworks that connect interindividual differences in behavior with intraindividual psychological processes. Our review suggests that intelligence and working memory capacity are strongly correlated and that the shared va...