Generalising predictable object movements through experience using schemas

Suresh Kumar; Patricia Shaw; Daniel Lewkowicz; Alexandros Giagkos; Mark Lee; Qiang Shen

doi:10.1007/978-3-319-43488-9_29

Generalising predictable object movements through experience using schemas

Suresh Kumar^*
, Patricia Shaw
, Daniel Lewkowicz
, Alexandros Giagkos
, Mark Lee
, Qiang Shen

^*Corresponding author for this work

College of Engineering and Physical Sciences

Aberystwyth University
Sukkur Institute of Business Administration-Sukkur IBA

Research output: Chapter in Book/Published conference output › Conference publication

2 Citations (Scopus)

Abstract

In humans, repeated exposure to the effects of events can lead to anticipation of these effects. This behaviour has been observed in infants from as young as 3months old. During infant experiments, the infants have been observed to predict either by pre-saccadic movements or reach actions according to the expected future outcome of the event. Event anticipation or prediction is necessary for such behaviours. In this paper we demonstrate prediction of object motion events using the adaptive learning tool Dev-PSchema. Results shows that the system is able to predict the linear motion outcome of the visual event using generalised schemas.

Original language	English
Title of host publication	From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings
Editors	John Hallam, Elio Tuci, Alexandros Giagkos, Myra Wilson
Publisher	Springer
Pages	329-339
Number of pages	11
ISBN (Print)	9783319434872
DOIs	https://doi.org/10.1007/978-3-319-43488-9_29
Publication status	Published - 1 Aug 2016
Event	14th International Conference on Simulation of Adaptive Behavior, SAB 2016 - Aberystwyth, United Kingdom Duration: 23 Aug 2016 → 26 Aug 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9825 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Simulation of Adaptive Behavior, SAB 2016
Country/Territory	United Kingdom
City	Aberystwyth
Period	23/08/16 → 26/08/16

Funding

This research is supported by the Aberystwyth University Doctoral Training Programme, Sukkur IBA (Pakistan) Faculty Development Program and the UK Engineering and Physical Sciences Research Council (EPSRC), grant No. EP/M013510/1. We are grateful for contributions from our recent research colleagues, in particularly Dr. Michael Sheldon, for the development of the PSchema tool.

Keywords

Action prediction
Developmental robotics
Psychologically inspired

Access to Document

10.1007/978-3-319-43488-9_29

Cite this

Kumar, S., Shaw, P., Lewkowicz, D., Giagkos, A., Lee, M., & Shen, Q. (2016). Generalising predictable object movements through experience using schemas. In J. Hallam, E. Tuci, A. Giagkos, & M. Wilson (Eds.), From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings (pp. 329-339). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9825 LNCS). Springer. https://doi.org/10.1007/978-3-319-43488-9_29

Kumar, Suresh ; Shaw, Patricia ; Lewkowicz, Daniel et al. / Generalising predictable object movements through experience using schemas. From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings. editor / John Hallam ; Elio Tuci ; Alexandros Giagkos ; Myra Wilson. Springer, 2016. pp. 329-339 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{10254bf0f496443b9138d4f01c610245,

title = "Generalising predictable object movements through experience using schemas",

abstract = "In humans, repeated exposure to the effects of events can lead to anticipation of these effects. This behaviour has been observed in infants from as young as 3months old. During infant experiments, the infants have been observed to predict either by pre-saccadic movements or reach actions according to the expected future outcome of the event. Event anticipation or prediction is necessary for such behaviours. In this paper we demonstrate prediction of object motion events using the adaptive learning tool Dev-PSchema. Results shows that the system is able to predict the linear motion outcome of the visual event using generalised schemas.",

keywords = "Action prediction, Developmental robotics, Psychologically inspired",

author = "Suresh Kumar and Patricia Shaw and Daniel Lewkowicz and Alexandros Giagkos and Mark Lee and Qiang Shen",

year = "2016",

month = aug,

day = "1",

doi = "10.1007/978-3-319-43488-9\_29",

language = "English",

isbn = "9783319434872",

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

publisher = "Springer",

pages = "329--339",

editor = "John Hallam and Elio Tuci and Alexandros Giagkos and Myra Wilson",

booktitle = "From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings",

address = "Germany",

note = "14th International Conference on Simulation of Adaptive Behavior, SAB 2016 ; Conference date: 23-08-2016 Through 26-08-2016",

}

Kumar, S, Shaw, P, Lewkowicz, D, Giagkos, A, Lee, M & Shen, Q 2016, Generalising predictable object movements through experience using schemas. in J Hallam, E Tuci, A Giagkos & M Wilson (eds), From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9825 LNCS, Springer, pp. 329-339, 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Aberystwyth, United Kingdom, 23/08/16. https://doi.org/10.1007/978-3-319-43488-9_29

Generalising predictable object movements through experience using schemas. / Kumar, Suresh; Shaw, Patricia; Lewkowicz, Daniel et al.
From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings. ed. / John Hallam; Elio Tuci; Alexandros Giagkos; Myra Wilson. Springer, 2016. p. 329-339 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9825 LNCS).

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Generalising predictable object movements through experience using schemas

AU - Kumar, Suresh

AU - Shaw, Patricia

AU - Lewkowicz, Daniel

AU - Giagkos, Alexandros

AU - Lee, Mark

AU - Shen, Qiang

PY - 2016/8/1

Y1 - 2016/8/1

N2 - In humans, repeated exposure to the effects of events can lead to anticipation of these effects. This behaviour has been observed in infants from as young as 3months old. During infant experiments, the infants have been observed to predict either by pre-saccadic movements or reach actions according to the expected future outcome of the event. Event anticipation or prediction is necessary for such behaviours. In this paper we demonstrate prediction of object motion events using the adaptive learning tool Dev-PSchema. Results shows that the system is able to predict the linear motion outcome of the visual event using generalised schemas.

AB - In humans, repeated exposure to the effects of events can lead to anticipation of these effects. This behaviour has been observed in infants from as young as 3months old. During infant experiments, the infants have been observed to predict either by pre-saccadic movements or reach actions according to the expected future outcome of the event. Event anticipation or prediction is necessary for such behaviours. In this paper we demonstrate prediction of object motion events using the adaptive learning tool Dev-PSchema. Results shows that the system is able to predict the linear motion outcome of the visual event using generalised schemas.

KW - Action prediction

KW - Developmental robotics

KW - Psychologically inspired

UR - https://www.scopus.com/pages/publications/84984813620

UR - https://link.springer.com/chapter/10.1007%2F978-3-319-43488-9_29

U2 - 10.1007/978-3-319-43488-9_29

DO - 10.1007/978-3-319-43488-9_29

M3 - Conference publication

AN - SCOPUS:84984813620

SN - 9783319434872

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

SP - 329

EP - 339

BT - From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings

A2 - Hallam, John

A2 - Tuci, Elio

A2 - Giagkos, Alexandros

A2 - Wilson, Myra

PB - Springer

T2 - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016

Y2 - 23 August 2016 through 26 August 2016

ER -

Kumar S, Shaw P, Lewkowicz D, Giagkos A, Lee M, Shen Q. Generalising predictable object movements through experience using schemas. In Hallam J, Tuci E, Giagkos A, Wilson M, editors, From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings. Springer. 2016. p. 329-339. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-43488-9_29

Generalising predictable object movements through experience using schemas

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this