NDLI: Development of goal-directed gaze shift based on predictive learning

Content Provider	IEEE Xplore Digital Library
Author	Copete, J.L. Nagai, Y. Asada, M.
Copyright Year	2014
Description	Author affiliation: Dept. of Adaptive Machine Syst., Osaka Univ., Suita, Japan (Copete, J.L.; Nagai, Y.; Asada, M.)
Abstract	Understanding others' actions as goal-directed is a key mechanism to develop social cognitive abilities such as imitation and cooperation. Recent findings in psychology have demonstrated that the ability to predict the goal of observed actions emerges as early as six months in infancy. However, what mechanisms are involved and how they trigger the development of this ability are still open questions. In this paper, we propose a computational model employing a recurrent neural network to reproduce the developmental process of goal-directed gaze shift. Our hypothesis is that it is possible to infer the goal of observed actions by learning to predict the attention target originated from bottom-up visual attention. While keeping consistency with psychological findings, our experimental results confirmed the hypothesis that learning to predict the attention targets leads to the development of predictive gaze shift to the action goal.
Starting Page	351
Ending Page	356
File Size	1058457
Page Count	6
File Format	PDF
ISBN	9781479975402
DOI	10.1109/DEVLRN.2014.6983005
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-13
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training visual attention Visualization Recurrent neural networks Image color analysis recurrent neural network Computational modeling Grasping Predictive models Cognitive developmental robotics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Goal-Directed Movement Generation with a Transient-Based Recurrent Neural Network Controller

Development of goal-directed gaze shift based on predictive learning (2014)

Learning top down scene context for visual attention modeling in natural images

Motor-Primed Visual Attention for Humanoid Robots

A Goal-Directed Visual Perception System Using Object-Based Top–Down Attention

Saliency map for visual attention region prediction based on fuzzy neural network

A hybrid recurrent neural network for music transcription

Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization

Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network

Development of goal-directed gaze shift based on predictive learning

Similar Documents

Goal-Directed Movement Generation with a Transient-Based Recurrent Neural Network Controller

Development of goal-directed gaze shift based on predictive learning (2014)

Learning top down scene context for visual attention modeling in natural images

Motor-Primed Visual Attention for Humanoid Robots

A Goal-Directed Visual Perception System Using Object-Based Top–Down Attention

Saliency map for visual attention region prediction based on fuzzy neural network

A hybrid recurrent neural network for music transcription

Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization

Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network

Development of goal-directed gaze shift based on predictive learning