Author:
Komendantskaya Ekaterina,Lane Máire,Seda Anthony Karel
Publisher
Springer Berlin Heidelberg
Reference51 articles.
1. Hölldobler, S., Kalinke, Y.: Towards a new massively parallel computational model for logic programming. In: Proceedings ECAI94 Workshop on Combining Symbolic and Connectionist Processing, ECCAI (1994) 68-77
2. Hölldobler, S., Kalinke, Y., Störr, H.P.: Approximating the semantics of logic programs by recurrent neural networks. Applied Intelligence 11 (1999) 45-58
3. Bader, S., Hitzler, P., Hölldobler, S.: The integration of connectionism and first-order knowledge representation and reasoning as a challenge for artificial intelligence. Information 9(1) (2006) Invited paper.
4. Bornscheuer, S.E., Hölldobler, S., Kalinke, Y., Strohmaier, A.: Massively parallel reasoning. In: Automated Deduction - A Basis for Applications. Volume II. Kluwer Academic Publishers (1998) 291-321
5. d’Avila Garcez, A.S., Broda, K., Gabbay, D.M.: Symbolic knowledge extraction from trained neural networks: A sound approach. Artificial Intelligence 125 (2001) 155-207
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献