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

Research output: Chapter in Book/Published conference outputConference publication

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 languageEnglish
Title of host publicationFrom Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings
EditorsJohn Hallam, Elio Tuci, Alexandros Giagkos, Myra Wilson
PublisherSpringer
Pages329-339
Number of pages11
ISBN (Print)9783319434872
DOIs
Publication statusPublished - 1 Aug 2016
Event14th International Conference on Simulation of Adaptive Behavior, SAB 2016 - Aberystwyth, United Kingdom
Duration: 23 Aug 201626 Aug 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9825 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Simulation of Adaptive Behavior, SAB 2016
CountryUnited Kingdom
CityAberystwyth
Period23/08/1626/08/16

Keywords

  • Action prediction
  • Developmental robotics
  • Psychologically inspired

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