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 HarveyIn 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 PressPages
6.0Presentation Type
- paper
Event name
Artificial Life X, Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living SystemsEvent location
Bloomington, Indiana, USAEvent type
conferenceISBN
0-262-68162-5Department 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 FloreanoLegacy Posted Date
2012-02-06Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC