Reflections on Automation, Learnability and Expressiveness in Logic-Based Programming Languages

Author:

Tarau Paul

Publisher

Springer Nature Switzerland

Reference13 articles.

1. Andersen, C., Swift, T.: The Janus System: a bridge to new prolog applications. In: Warren, D.S., Dahl, V., Eiter, T., Hermenegildo, M., Kowalski, R., Rossi, F. (eds.) Prolog - The Next 50 Years. No. 13900 in LNCS, Springer (July 2023)

2. Brown, T., et al.: Language models are few-shot learners. In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H. (eds.) Advances in Neural Information Processing Systems. vol. 33, pp. 1877–1901. Curran Associates, Inc. (2020). https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf

3. Genesereth, M.: Prolog as a knowledge representation language the nature and importance of prolog. In: Warren, D.S., Dahl, V., Eiter, T., Hermenegildo, M., Kowalski, R., Rossi, F. (eds.) Prolog - The Next 50 Years. No. 13900 in LNCS, Springer (July 2023)

4. Lecture Notes in Computer Science;MV Hermenegildo,1986

5. Manhaeve, R., Dumancic, S., Kimmig, A., Demeester, T., De Raedt, L.: Deepproblog: neural probabilistic logic programming. In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R. (eds.) Advances in Neural Information Processing Systems 31, pp. 3749–3759. Curran Associates, Inc. (2018). http://papers.nips.cc/paper/7632-deepproblog-neural-probabilistic-logic-programming.pdf

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1. Introducing Prolog in Language-Informed Ways;Prolog: The Next 50 Years;2023

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