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Intent-based networks that integrate sophisticated machine reasoning technologies will be a cornerstone of future wireless 6G systems.
“A Mathematical Theory of Communication,”
C. E. Shannon, · 1948
Earlier work this paper cites.
“An Outline of a Theory of Semantic Information,”
R. Carnap and Y. Bar-Hillel, · 1952
Earlier work this paper cites.
“An Introduction to Deep Learning for the Physical Layer ,”
T. O’Shea and J. Hoydis, · 2017
Earlier work this paper cites.
“Neurosymbolic AI: the 3rd Wave,”
A. A. Garcez and L. C. Lamb, · 2020
Earlier work this paper cites.
“From Statistical Relational to Neural-Symbolic Artificial Intelligence,”
L. D. Raedt, S. Dumančić, Robin Manhaeve, and Giuseppe Marra, · 2020
Earlier work this paper cites.
“6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications,”
E. C. Strinati and S. Barbarossa, · 2021
Cited alongside, same era.
“Semantics-Native Communication with Contextual Reasoning,”
H. Seo, J. Park, M. Bennis, and M. Debbah, · 2021
Cited alongside, same era.
“A Rate-Distortion Framework for Characterizing Semantic Information,”
J. Liu, W. Zhang, and H. V. Poor, · 2021
Cited alongside, same era.
“Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation,”
E. Bengio, M. Jain, M. Korablyov, D. Precup, and Y. Bengio., · 2021
Cited alongside, same era.
“A Unified View on Semantic Information and Communication: A Probabilistic Logic Approach,”
J. Choi, S. W. Loke, and J. Park, · 2022
Cited alongside, same era.
“Semantics-empowered communication for networked intelligent systems,”
M. Kountouris and N. Pappas,
Cited in the paper.
“Curriculum Learning for Goal-Oriented Semantic Communications with a Common Language,”
M. K. Farshbafan, W. Saad, and M. Debbah, · 2022
Closest in time.
“Effective Goal-oriented 6G Communications: the Energy-aware Edge Inferencing Case,”
M. Merluzzi, M. C. Filippou, L. G. Baltar, and E. C. Strinati, · 2022
Closest in time.
“Bayesian Structure Learning with Generative Flow Networks,”
T. Deleu, A. Grois, C. Emezue, M. Rankawat, S. Lacoste-Julien, S. Bauer, and Y. Bengio, · 2022
Closest in time.
“Logic Tensor Networks,”
S. Badreddine, A. D. A. Garcez, L. Serafini, and M. Spranger, · 2022
Closest in time.
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