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Attention in Cognitive Systems - International Workshop on Attention in Cognitive Systems, WAPCV 2008 Fira, Santorini, Greece, May 12, 2008, Revised Selected Papers (Paperback, 2009 ed.)
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Attention in Cognitive Systems - International Workshop on Attention in Cognitive Systems, WAPCV 2008 Fira, Santorini, Greece, May 12, 2008, Revised Selected Papers (Paperback, 2009 ed.)
Series: Lecture Notes in Computer Science, 5395
Expected to ship within 10 - 15 working days
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Attention has represented a core scienti?c topic in the design of
AI-enabled systems in the last few decades. Today, in the ongoing
debate, design, and c-
putationalmodelingofarti?cialcognitivesystems,
attentionhasgainedacentral position as a focus of research. For
instance, attentional methods are considered in investigating the
interfacing of sensory and cognitive information processing, for
the organization of behaviors, and for the understanding of
individual and social cognition in infant development.
Whilevisualcognitionplaysacentralroleinhumanperception, ?ndingsfrom
neuroscience and experimental psychology have provided strong
evidence about the perception-action nature of cognition. The
embodied nature of senso- motor intelligence requires a continuous
and focused interplay between the c-
trolofmotoractivitiesandtheinterpretationoffeedbackfromperceptualmod-
ities. Decision making about the selection of information from the
incoming sensory stream - in tune with contextual processing on a
current task and an agent's global objectives - becomes a further
challenging issue in attentional control. Attention must operate at
interfaces between a bottom-up-driven world
interpretationandtop-down-driveninformationselection,
thusactingatthecore of arti?cial cognitive systems. These insights
have already induced changes in AI-related disciplines, such as the
design of behavior-based robot control and the computational
modeling of animats. Today, the development of enabling
technologiessuch as autonomous robotic systems,
miniaturizedmobile-evenwearable-sensors, andambientintelligence
systems involves the real-time analysis of enormous quantities of
data. These data have to be processed in an intelligent way to
provide "on time delivery" of the required relevant information.
Knowledge has to be applied about what needs to be attended to, and
when, and what to do in a meaningful sequence, in correspondence
with visual feedback.
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