Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint : 4th International Workshop on Attention in Cognitive Systems, WAPCV 2007 Hyderabad, India, January 8, 2007 Revised Selected Papers / edited by Lucas Paletta, Erich Rome.

Format:

Book

Contributor:

Paletta, Lucas, editor.

Rome, Erich, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 4840.

Lecture Notes in Artificial Intelligence ; 4840

Language:

English

Subjects (All):

Computers.

Artificial intelligence.

Optical data processing.

Pattern perception.

Computer graphics.

Neurosciences.

Theory of Computation.

Artificial Intelligence.

Image Processing and Computer Vision.

Pattern Recognition.

Computer Graphics.

Local Subjects:

Theory of Computation.

Artificial Intelligence.

Image Processing and Computer Vision.

Pattern Recognition.

Computer Graphics.

Neurosciences.

Physical Description:

1 online resource (XI, 500 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

Attentionhasbeenrepresentingacorescienti?ctopicinthedesignofAI-enabled systems within the last 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 re?ection of infant development. Whilevisualcognitionplaysacentralroleinhumanperception,?ndingsfrom neuroscience and experimental psychology have provided strong evidence about theperception-actionnatureofcognition.Theembodiednatureofsensory-motor intelligence requires a continuous and focused interplay between the control of motor activities and the interpretation of feedback from perceptual modalities. 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 bottom-up driven world int- pretation and top-down driven information selection, thus acting at the core 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.

Contents:

Embodiment of Attention

The Embodied Dynamics of Emotion, Appraisal and Attention

The Role of Attention in Creating a Cognitive System

The Influence of the Body and Action on Spatial Attention

Abstraction Level Regulation of Cognitive Processing Through Emotion-Based Attention Mechanisms

Embodied Active Vision in Language Learning and Grounding

Language Label Learning for Visual Concepts Discovered from Video Sequences

Cognitive Control of Attention

Learning to Attend - From Bottom-Up to Top-Down

An Attentional System Combining Top-Down and Bottom-Up Influences

The Selective Attention for Identification Model (SAIM): Simulating Visual Search in Natural Colour Images

A Bayesian Approach to Attention Control and Concept Abstraction

Modeling of Saliency and Visual Search

An Information Theoretic Model of Saliency and Visual Search

An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and Discrimination

A Proto-object Based Visual Attention Model

Context Driven Focus of Attention for Object Detection

Color Saliency and Inhibition Using Static and Dynamic Scenes in Region Based Visual Attention

I See What You See: Eye Movements in Real-World Scenes Are Affected by Perceived Direction of Gaze

Sequential Attention

Selective Attention in the Learning of Viewpoint and Position Invariance

Generating Sequence of Eye Fixations Using Decision-Theoretic Attention Model

Reinforcement Learning for Decision Making in Sequential Visual Attention

Biologically Inspired Framework for Learning and Abstract Representation of Attention Control

Biological Aspects of Attention

Modeling the Dynamics of Feature Binding During Object-Selective Attention

The Spiking Search over Time and Space Model (sSoTS): Simulating Dual Task Experiments and the Temporal Dynamics of Preview Search

On the Role of Dopamine in Cognitive Vision

Differences and Interactions Between Cerebral Hemispheres When Processing Ambiguous Words

Attention in Early Vision: Some Psychophysical Insights

Auditory Gist Perception: An Alternative to Attentional Selection of Auditory Streams?

Applications of Attentive Vision

Simultaneous Robot Localization and Mapping Based on a Visual Attention System

Autonomous Attentive Exploration in Search and Rescue Scenarios

Attention-Based Landmark Selection in Autonomous Robotics

Simulation and Formal Analysis of Visual Attention in Cognitive Systems

Region-Oriented Visual Attention Framework for Activity Detection

Autonomous Attentive Exploration in Search and Rescue Scenarios.

Other Format:

Printed edition:

ISBN:

978-3-540-77343-6

9783540773436

Access Restriction:

Restricted for use by site license.