Projects per year
Abstract
It has been one of the great challenges of neuro-symbolic integration to represent recursive logic programs using neural networks of finite size. In this paper, we propose to implement neural networks that can process recursive programs viewed as inductive definitions.
Original language | English |
---|---|
Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Pages | 301-304 |
Number of pages | 4 |
Volume | 6352 LNCS |
Edition | PART 1 |
DOIs | |
Publication status | Published - 2010 |
Event | 20th International Conference on Artificial Neural Networks, ICANN 2010 - Thessaloniki, Greece Duration: 15 Sept 2010 → 18 Sept 2010 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Number | PART 1 |
Volume | 6352 LNCS |
ISSN (Print) | 03029743 |
ISSN (Electronic) | 16113349 |
Conference
Conference | 20th International Conference on Artificial Neural Networks, ICANN 2010 |
---|---|
Country/Territory | Greece |
City | Thessaloniki |
Period | 15/09/10 → 18/09/10 |
Fingerprint
Dive into the research topics of 'Neuro-symbolic representation of logic programs defining infinite sets'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Fellowship CLANN EP/F044046/1: Computational Logic in Artificial Neural Networks
Dyckhoff, R. (PI)
1/10/08 → 30/09/11
Project: Fellowship