Published in

World Scientific Publishing, International Journal on Artificial Intelligence Tools, 02(16), p. 195-217

DOI: 10.1142/s021821300700328x

Links

Tools

Export citation

Search in Google Scholar

A Psychogenetic Algorithm for Behavioral Sequence Learning

Journal article published in 2005 by Vittorio Maniezzo, Matteo Roffilli ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

Abstract

This work presents an original algorithmic model of some essential features of psychogenetic theory, as was proposed by J. Piaget. Specifically, we modeled some elements of cognitive structure learning in children from birth to four months of life. We are in fact convinced that the study of well-established cognitive models of human learning can suggest new, interesting approaches to problem so far not satisfactorily solved in the field of machine learning. Further, we discussed the possible parallels between our model and subsymbolic machine learning and neuroscience. The model was implemented and tested in some simple experimental settings, with reference to the task of learning sensorimotor sequences.