NDLI: Automatic acquisition of dialog strategies for concept learning through interaction among agents

Content Provider	IEEE Xplore Digital Library
Author	Taguchi, R. Katsurada, K. Nitta, T.
Copyright Year	2004
Description	Author affiliation: Graduate Sch. of Eng., Toyohashi Univ. of Technol. (Taguchi, R.; Katsurada, K.; Nitta, T.)
Abstract	This paper describes automatic acquisition of dialog strategies for efficient concept acquisition applied to the interaction among infant agents (IAs). The following two topics are emphasized: (1) what the influence of dialog strategies over concept acquisition is, (2) how cooperative dialog strategies are acquired. In order to acquire efficient strategies, Q-learning is applied to a strategy acquisition mechanism. Experiments are carried out through the interaction between two IAs; one is teaching IA (T-IA) that has all the concepts and teaches them to the other IA, and the other is learning IA (L-IA) that acquires concepts. In the experiments, 100,000 times of dialogs arc iterated and both IAs acquire dialog strategies. We first fix the number of initial concept of the L-IA to zero and compare the acquired strategies with a base line strategy of Random-Strategy, which makes the act of TA randomly, to investigate the above-mentioned topics of (1) and (2). The experimental results showed that the resultant strategy, which follows Grice's maxim of "quantity", makes the concept acquisition efficient, however, the T-IA using this strategy exhibits the same behavior no matter how the L-IA asks. This is not the cooperative behavior. In the second experiment, zero to ten initial concepts are randomly given to the L-IA for setting actual dialog situation. The results showed that both IAs acquire cooperative strategies that can efficiently eliminate ambiguities. The behavior of IAs using the cooperative strategies is similar to the one that is seen in human-human interaction
Starting Page	1049
Ending Page	1054
File Size	1139626
Page Count	6
File Format	PDF
ISBN	0780386434
DOI	10.1109/ICCIS.2004.1460734
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-01
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Intelligent agent Education Avatars Animation Magnetic heads Research and development Speech processing Learning systems Robots
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
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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

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