تقرير
Logic Negation with Spiking Neural P Systems
| العنوان: | Logic Negation with Spiking Neural P Systems |
|---|---|
| المؤلفون: | Rodríguez-Chavarría, Daniel, Gutiérrez-Naranjo, Miguel A., Borrego-Díaz, Joaquín |
| سنة النشر: | 2018 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Artificial Intelligence, Computer Science - Logic in Computer Science |
| الوصف: | Nowadays, the success of neural networks as reasoning systems is doubtless. Nonetheless, one of the drawbacks of such reasoning systems is that they work as black-boxes and the acquired knowledge is not human readable. In this paper, we present a new step in order to close the gap between connectionist and logic based reasoning systems. We show that two of the most used inference rules for obtaining negative information in rule based reasoning systems, the so-called Closed World Assumption and Negation as Finite Failure can be characterized by means of spiking neural P systems, a formal model of the third generation of neural networks born in the framework of membrane computing. Comment: 25 pages, 1 figure |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1810.08170 |
| رقم الأكسشن: | edsarx.1810.08170 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |