Results 261 to 270 of about 224,550 (312)

"Desired behaviors": alignment and the emergence of a machine learning ethics. [PDF]

AI Soc
Schwerzmann K, Campolo A.
europepmc   +1 more source

MC-LBTO: secure and resilient state-aware multi-controller framework with adaptive load balancing for SD-IoT performance optimization. [PDF]

Sci Rep
Alyanbaawi A, El-Sayed A, Salah N, Said W, Elmezain M, Elkomy O.   +5 more
europepmc   +1 more source

AI-Supported Shared Decision-Making (AI-SDM): Conceptual Framework. [PDF]

JMIR AI
As'ad M, Faran N, Joharji H.
europepmc   +1 more source

Hybrid modelling using simulation and machine learning in healthcare.

Comput Oper Res
Ahmadi A, Fakhimi M, Magnusson C.
europepmc   +1 more source

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The distribution semantics in probabilistic logic programming and probabilistic description logics: a survey

Intelligenza Artificiale, 2023
Representing uncertain information is crucial for modeling real world domains. This has been fully recognized both in the field of Logic Programming and of Description Logics (DLs), with the introduction of probabilistic logic languages and various ...
Elena Bellodi
semanticscholar   +1 more source

Hybrid Probabilistic Logic Programs as Residuated Logic Programs

Studia Logica, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Damásio, Carlos Viegas, Pereira, Luís Moniz   +1 more
openaire   +2 more sources

Agent-Oriented Probabilistic Logic Programming

Journal of Computer Science and Technology, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Jie, Ju, Shi-Er, Liu, Chun-Nian
openaire   +2 more sources

dPASP: A Probabilistic Logic Programming Environment For Neurosymbolic Learning and Reasoning

International Conference on Principles of Knowledge Representation and Reasoning
We present dPASP, a novel declarative probabilistic logic programming framework that allows for the specification of discrete probabilistic models by neural predicates, relational logic constraints, and interval-valued probabilistic choices.
Renato Lui Geh, Jonas R. L. Gonçalves, I. Silveira, D. D. Mauá, F. G. Cozman   +4 more
semanticscholar   +1 more source