Results 231 to 240 of about 3,393 (263)

A systematic review of operational research modelling for alcohol consumption and its consequences. [PDF]

Health Syst (Basingstoke)
Williams EH, Harper PR, Palmer GI, Gartner D.   +3 more
europepmc   +1 more source

NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments. [PDF]

Sci Rep
Yu X, Tang L, Mi J, Long L, Qin X, Li X, Mo Q.   +6 more
europepmc   +1 more source

GEC-DTSP: A GNN-RL-based Edge-Cloud Digital Twin framework for real-time traffic forecasting and adaptive signal control. [PDF]

PLoS One
Alanazi F, Armghan A, Al-Gburi AJA, Yousef A.   +3 more
europepmc   +1 more source

AF-CuRL: Stable Reinforcement Learning for Resource-Constrained Long-Form Reasoning in Edge-Intelligent Systems. [PDF]

Sensors (Basel)
Yan Z, Wang Y, Yue Q, Wang X.
europepmc   +1 more source

BeamCraft: Deep Reinforcement Learning-DrivenMulti-Objective Beamforming for ISAC

Dao DN, Miao Y.
europepmc   +1 more source

Stochastic actor‐oriented models for network change

Journal of Mathematical Sociology, 1996
A class of models is proposed for longitudinal network data. These models are along the lines of methodological individualism: actors use heuristics to try to achieve their individual goals, subject to constraints. The current network structure is among these constraints.
Tom A B Snijders
exaly   +6 more sources

Studying network change in education with stochastic actor-oriented models

This chapter provides an intuitive introduction to Stochastic Actor-oriented Models (SAOMs) in the context of educational research. SAOMs are multivariate statistical models that can be used to analyse changes in a social network observed at discrete ...
András Vörös, Tomáš Diviák
core   +4 more sources

A Stochastic Actor Oriented approach to model policy-driven innovation network dynamics

, 2015
Stochastic actor oriented models (SAOM) are of growing importance to study network dynamics underlying the theoretical micro mechanisms that induce the evolution of relations among a set of social actors. SAOM represents a suitable methodological framework to investigate the evolution of policy driven innovation networks among heterogeneous agents. The
Caloffi, Annalisa, DE STEFANO, DOMENICO, Rossi, Federica, Russo, Margherita, ZACCARIN, SUSANNA   +4 more
openaire   +2 more sources

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Studying Policy Diffusion with Stochastic Actor-Oriented Models

2017
exaly   +2 more sources