University of Sussex
Browse

File(s) not publicly available

Learning on a Continuum in Evolved Dynamical Node Networks

presentation
posted on 2023-06-08, 05:57 authored by Eduardo Izquierdo-Torres, Inman HarveyInman Harvey
In artificial life, there has been much previous research using evolution to generate learning behaviour within dynamical system controllers without pre-defining the learning mechanisms; so far this research has focused exclusively on evolving agents that can behave differently in a discrete number of different scenarios, generally two. But many (arguably most) interesting discrimination tasks in real life are where the scenarios are over a continuum; one example would be parental imprinting in birds. Here we analyse a successfully evolved embodied and situated agent on an abstract model of this imprinting and give the first published example of such learning on a continuum.

History

Publication status

  • Published

Publisher

MIT Press

Pages

6.0

Presentation Type

  • paper

Event name

Artificial Life X, Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems

Event location

Bloomington, Indiana, USA

Event type

conference

ISBN

0-262-68162-5

Department affiliated with

  • Informatics Publications

Notes

Originality. First use of this method to successfully discriminate over a continuum. Rigour. Evolutionary robotics applied to discrimination tasks. Significance.This opens up a new range of experimental areas. Outlet/Citations. Top ranking Intl conference in the area.

Full text available

  • No

Peer reviewed?

  • Yes

Editors

A Mark, A Vespignani, LS Yaeger, RL Goldstone, LM Rocha, D Floreano

Legacy Posted Date

2012-02-06

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC