Teaching autonomous agents to move in a believable manner within virtual institutions

A. Bogdanovych; S. Simoff; M. Esteva; J. Debenham

Teaching autonomous agents to move in a believable manner within virtual institutions

A. Bogdanovych
, S. Simoff
, M. Esteva
, J. Debenham

School of Computer, Data & Mathematical Sciences

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

2 Citations (Scopus)

Abstract

Believability of computerised agents is a growing area of research. This paper is focused on one aspect of believability "” believable movements of avatars in normative 3D Virtual Worlds called Virtual Institutions. It presents a method for implicit training of autonomous agents in order to "believably" represent humans in Virtual Institutions. The proposed method does not require any explicit training efforts from human participants. The contribution is limited to the lazy learning methodology based on imitation and algorithms that enable believable movements by a trained autonomous agent within a Virtual Institution.

Original language	English
Title of host publication	Artificial Intelligence in Theory and Practice II: IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy
Publisher	Springer
Pages	55-64
Number of pages	10
ISBN (Print)	9780387096940
Publication status	Published - 2008
Event	IFIP World Computer Congress - Duration: 1 Jan 2008 → …

Conference

Conference	IFIP World Computer Congress
Period	1/01/08 → …

Keywords

avatars (virtual reality)
intelligent agents (computer software)
virtual reality

Cite this

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title = "Teaching autonomous agents to move in a believable manner within virtual institutions",

abstract = "Believability of computerised agents is a growing area of research. This paper is focused on one aspect of believability {"}” believable movements of avatars in normative 3D Virtual Worlds called Virtual Institutions. It presents a method for implicit training of autonomous agents in order to {"}believably{"} represent humans in Virtual Institutions. The proposed method does not require any explicit training efforts from human participants. The contribution is limited to the lazy learning methodology based on imitation and algorithms that enable believable movements by a trained autonomous agent within a Virtual Institution.",

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author = "A. Bogdanovych and S. Simoff and M. Esteva and J. Debenham",

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booktitle = "Artificial Intelligence in Theory and Practice II: IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy",

publisher = "Springer",

note = "IFIP World Computer Congress ; Conference date: 01-01-2008",

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Teaching autonomous agents to move in a believable manner within virtual institutions. / Bogdanovych, A.; Simoff, S.; Esteva, M. et al.
Artificial Intelligence in Theory and Practice II: IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy. Springer, 2008. p. 55-64.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Teaching autonomous agents to move in a believable manner within virtual institutions

AU - Bogdanovych, A.

AU - Simoff, S.

AU - Esteva, M.

AU - Debenham, J.

PY - 2008

Y1 - 2008

N2 - Believability of computerised agents is a growing area of research. This paper is focused on one aspect of believability "” believable movements of avatars in normative 3D Virtual Worlds called Virtual Institutions. It presents a method for implicit training of autonomous agents in order to "believably" represent humans in Virtual Institutions. The proposed method does not require any explicit training efforts from human participants. The contribution is limited to the lazy learning methodology based on imitation and algorithms that enable believable movements by a trained autonomous agent within a Virtual Institution.

AB - Believability of computerised agents is a growing area of research. This paper is focused on one aspect of believability "” believable movements of avatars in normative 3D Virtual Worlds called Virtual Institutions. It presents a method for implicit training of autonomous agents in order to "believably" represent humans in Virtual Institutions. The proposed method does not require any explicit training efforts from human participants. The contribution is limited to the lazy learning methodology based on imitation and algorithms that enable believable movements by a trained autonomous agent within a Virtual Institution.

KW - avatars (virtual reality)

KW - intelligent agents (computer software)

KW - virtual reality

UR - http://handle.uws.edu.au:8081/1959.7/488898

M3 - Conference Paper

SN - 9780387096940

SP - 55

EP - 64

BT - Artificial Intelligence in Theory and Practice II: IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy

PB - Springer

T2 - IFIP World Computer Congress

Y2 - 1 January 2008

ER -

Teaching autonomous agents to move in a believable manner within virtual institutions

Abstract

Conference

Keywords

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