Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Asociación Española para la Inteligencia Artificial
2017
|
| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=92553915005 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Incremental and developmental perspectives for general-purpose learning systems Fernando Martínez-Plumed Ingeniería general forgetting task difficulty intelligence tests inductive programming The stupefying success of Artificial Intelligence (AI) for specific problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety of (different) problems. This dissertation deals with the long-standing problem of creating more general AI systems, through the analysis of their development and the evaluation of their cognitive abilities. It presents a declarative general-purpose learning system and a developmental and lifelong approach for knowledge acquisition, consolidation and forgetting. It also analyses the use of the use of more ability-oriented evaluation techniques for AI evaluation and provides further insight for the understanding of the concepts of development and incremental learning in AI systems. 2017 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92553915005 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.60 Vol.20