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Limited information processing resources with respect to these variables can also be thought of as different degrees of control.
The increased demand that these activities place on information processing resources has raised concerns about the quality of learning and performance under multitasking conditions.
Here we consider a particular information-theoretic model of bounded rational decision-making that formalizes limited information processing resources by a variational principle that trades off expected utility gains (or losses) and entropic information costs (Ortega [2011a]; Ortega and Braun [2011, 2012a, 2013]).
Kendall [ 19], who adapted this model to childhood anxiety, assumes that due to a chronic activity of danger schemas, information processing resources are chronically focused on threat-relevant information, which in turn yields dysfunctional and maladaptive thoughts that continuously fuel feelings of anxiety.
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One interpretation is that the central manual tracking task and the peripheral target detection task tapped into partially independent pools of information-processing resources (Wickens, 2002).
First, it is argued that the explanation of such skills and abilities in terms of mental representations is both costly and clumsy: it imposes very high demands on the agent's information-processing resources and it leads to an inelegant and implausible overpopulation of highly specific mental representations.
In the cloud model, data centers with vast stores of information and processing resources can be tapped from afar through a personal computer, cellphone or other device.
This model of Internet-based supercomputing is known as cloud computing because vast stores of information and processing resources can be tapped from afar — by a laptop personal computer, cellphone or other device.
Cloud computing — in which vast stores of information and processing resources can be tapped from afar, over the Internet, using a personal computer, cellphone or other device — holds great promise in the corporate market.
Having centralized control over virtualized environments lets companies manage large amounts of information and processing resources and then parcel them out to applications when and where they're needed.
The benefits of C-RAN resine itsits joint information processing and resource scheduling, which can be executed via the virtual base station (VBS) that connects with a general purpose platform (GPP) server.
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