Autonomous parsing of behavior in a multi-agent setting

D. Vanderelst; E. Barakova

doi:10.1007/978-3-540-69731-2_112

Autonomous parsing of behavior in a multi-agent setting

D. Vanderelst, E. Barakova

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

Abstract

Imitation learning is a promising route to instruct robotic multi-agent systems. However, imitating agents should be able to decide autonomously what behavior, observed in others, is interesting to copy. Here we investigate whether a simple recurrent network (Elman Net) can be used to extract meaningful chunks from a continuous sequence of observed actions. Results suggest that, even in spite of the high level of task specific noise, Elman nets can be used for isolating re-occurring action patterns in robots. Limitations and future directions are discussed.

Original language	English
Title of host publication	Artificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Zakopane, Poland, June 22-26. Proceedings
Editors	L. Rutkowski, R. Tadeusiewicz, L.A. Zadeh, J.M. Zurada
Pages	1198-1209
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-540-69731-2_112
Publication status	Published - 4 Aug 2008
Event	9th International conference on Artificial Intelligence and Soft Computing (ICAISC 2008) - Zakopane, Poland Duration: 22 Jun 2008 → 26 Jun 2008 Conference number: 9

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5097 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International conference on Artificial Intelligence and Soft Computing (ICAISC 2008)
Abbreviated title	ICAISC 2008
Country/Territory	Poland
City	Zakopane
Period	22/06/08 → 26/06/08

Access to Document

10.1007/978-3-540-69731-2_112

Cite this

Vanderelst, D., & Barakova, E. (2008). Autonomous parsing of behavior in a multi-agent setting. In L. Rutkowski, R. Tadeusiewicz, L. A. Zadeh, & J. M. Zurada (Eds.), Artificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Zakopane, Poland, June 22-26. Proceedings (pp. 1198-1209). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5097 LNAI). https://doi.org/10.1007/978-3-540-69731-2_112

Vanderelst, D. ; Barakova, E. / Autonomous parsing of behavior in a multi-agent setting. Artificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Zakopane, Poland, June 22-26. Proceedings. editor / L. Rutkowski ; R. Tadeusiewicz ; L.A. Zadeh ; J.M. Zurada. 2008. pp. 1198-1209 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{3d3271a8d1e24063884697eab71da85f,

title = "Autonomous parsing of behavior in a multi-agent setting",

abstract = "Imitation learning is a promising route to instruct robotic multi-agent systems. However, imitating agents should be able to decide autonomously what behavior, observed in others, is interesting to copy. Here we investigate whether a simple recurrent network (Elman Net) can be used to extract meaningful chunks from a continuous sequence of observed actions. Results suggest that, even in spite of the high level of task specific noise, Elman nets can be used for isolating re-occurring action patterns in robots. Limitations and future directions are discussed.",

author = "D. Vanderelst and E. Barakova",

year = "2008",

month = aug,

day = "4",

doi = "10.1007/978-3-540-69731-2_112",

language = "English",

isbn = "3540695729",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "1198--1209",

editor = "L. Rutkowski and R. Tadeusiewicz and L.A. Zadeh and J.M. Zurada",

booktitle = "Artificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Zakopane, Poland, June 22-26. Proceedings",

note = "9th International conference on Artificial Intelligence and Soft Computing (ICAISC 2008), ICAISC 2008 ; Conference date: 22-06-2008 Through 26-06-2008",

}

Vanderelst, D & Barakova, E 2008, Autonomous parsing of behavior in a multi-agent setting. in L Rutkowski, R Tadeusiewicz, LA Zadeh & JM Zurada (eds), Artificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Zakopane, Poland, June 22-26. Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5097 LNAI, pp. 1198-1209, 9th International conference on Artificial Intelligence and Soft Computing (ICAISC 2008), Zakopane, Poland, 22/06/08. https://doi.org/10.1007/978-3-540-69731-2_112

Autonomous parsing of behavior in a multi-agent setting. / Vanderelst, D.; Barakova, E.
Artificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Zakopane, Poland, June 22-26. Proceedings. ed. / L. Rutkowski; R. Tadeusiewicz; L.A. Zadeh; J.M. Zurada. 2008. p. 1198-1209 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5097 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Autonomous parsing of behavior in a multi-agent setting

AU - Vanderelst, D.

AU - Barakova, E.

N1 - Conference code: 9

PY - 2008/8/4

Y1 - 2008/8/4

N2 - Imitation learning is a promising route to instruct robotic multi-agent systems. However, imitating agents should be able to decide autonomously what behavior, observed in others, is interesting to copy. Here we investigate whether a simple recurrent network (Elman Net) can be used to extract meaningful chunks from a continuous sequence of observed actions. Results suggest that, even in spite of the high level of task specific noise, Elman nets can be used for isolating re-occurring action patterns in robots. Limitations and future directions are discussed.

AB - Imitation learning is a promising route to instruct robotic multi-agent systems. However, imitating agents should be able to decide autonomously what behavior, observed in others, is interesting to copy. Here we investigate whether a simple recurrent network (Elman Net) can be used to extract meaningful chunks from a continuous sequence of observed actions. Results suggest that, even in spite of the high level of task specific noise, Elman nets can be used for isolating re-occurring action patterns in robots. Limitations and future directions are discussed.

UR - http://www.scopus.com/inward/record.url?scp=48249089369&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-69731-2_112

DO - 10.1007/978-3-540-69731-2_112

M3 - Conference contribution

AN - SCOPUS:48249089369

SN - 3540695729

SN - 9783540695721

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 1198

EP - 1209

BT - Artificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Zakopane, Poland, June 22-26. Proceedings

A2 - Rutkowski, L.

A2 - Tadeusiewicz, R.

A2 - Zadeh, L.A.

A2 - Zurada, J.M.

T2 - 9th International conference on Artificial Intelligence and Soft Computing (ICAISC 2008)

Y2 - 22 June 2008 through 26 June 2008

ER -

Vanderelst D, Barakova E. Autonomous parsing of behavior in a multi-agent setting. In Rutkowski L, Tadeusiewicz R, Zadeh LA, Zurada JM, editors, Artificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Zakopane, Poland, June 22-26. Proceedings. 2008. p. 1198-1209. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-69731-2_112

Autonomous parsing of behavior in a multi-agent setting

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this