Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pedro Zuidberg Dos Martires"'
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Robotic agents should be able to learn from sub-symbolic sensor data and, at the same time, be able to reason about objects and communicate with humans on a symbolic level. This raises the question of how to overcome the gap between symbolic and sub-
Externí odkaz:
https://doaj.org/article/ba4a3fbdbc1645c886551b8ce23e8334
Publikováno v:
Electronic Proceedings in Theoretical Computer Science. 364:153-155
An issue that has so far received only limited attention in probabilistic logic programming (PLP) is the modeling of so-called epistemic uncertainty, the uncertainty about the model itself. Accurately quantifying this model uncertainty is paramount t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb98c194c304b268a635dbe50f8553dd
https://lirias.kuleuven.be/handle/20.500.12942/691670
https://lirias.kuleuven.be/handle/20.500.12942/691670
Publikováno v:
AAAI
Weighted model counting has recently been extended to weighted model integration, which can be used to solve hybrid probabilistic reasoning problems. Such problems involve both discrete and continuous probability distributions. We show how standard k
Publikováno v:
IJCAI
Modeling object representations derived from perceptual observations, in a way that is also semantically meaningful for humans as well as autonomous agents, is a prerequisite for joint human-agent understanding of the world. A practical approach that
Autor:
Deniz Yuret, Amy Loutfi, Julian Gaal, Andreas Persson, Pedro Zuidberg Dos Martires, Ozan Arkan Can, Alessandro Saffiotti, Luc De Raedt
Human-robot interaction often occurs in the form of instructions given from a human to a robot. For a robot to successfully follow instructions, a common representation of the world and objects in it should be shared between humans and the robot so t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0425c315013734b09f52ff0572cce0e
https://lirias.kuleuven.be/handle/123456789/638652
https://lirias.kuleuven.be/handle/123456789/638652
Autor:
Deniz Yuret, Amy Loutfi, Alessandro Saffiotti, Pedro Zuidberg Dos Martires, Ozan Arkan Can, Jesse Davis, Laura Antanas, Luc De Raedt, Emre Unal, Andreas Persson
Publikováno v:
GLU 2017 International Workshop on Grounding Language Understanding.
Symbol grounding is the problem of associating symbols from language with a corresponding referent in the environment. Traditionally, research has focused on identifying single objects and their properties. The ReGround project hypothesizes that the
Autor:
Pedro Zuidberg Dos Martires, Paolo Morettin, Roberto Sebastiani, Andrea Passerini, Luc De Raedt, Francesco Sommavilla, Samuel Kolb
Publikováno v:
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
IJCAI
Scopus-Elsevier
IJCAI
Scopus-Elsevier
Weighted Model Integration (WMI) is a popular technique for probabilistic inference that extends Weighted Model Counting (WMC) -- the standard inference technique for inference in discrete domains -- to domains with both discrete and continuous varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48da4552d76af90a22f49fbaaeb066fa
Publikováno v:
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
IJCAI
IJCAI
Real world decision making problems often involve both discrete and continuous variables and require a combination of probabilistic and deterministic knowledge. Stimulated by recent advances in automated reasoning technology, hybrid (discrete+continu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe472b6e9a3f0eb951460486c862997f