Results 51 to 60 of about 5,552,368 (307)

Semantic contrast ahead: contrast guides pre-planning in complex noun-phrase production

Language and Cognition
Whether or not pre-planning extends beyond the initial noun in a noun phrase depends, in part, on the phrase’s dependency structure. Dependency structure disambiguates, in many contexts, the noun phrase’s reference. In the present experiment (N = 64), we
Jens Roeser, Mark Torrance, Thom Baguley
doaj   +1 more source

A Survey on Hierarchical Planning - One Abstract Idea, Many Concrete Realizations

International Joint Conference on Artificial Intelligence, 2019
Hierarchical planning has attracted renewed interest in the last couple of years, which led to numerous novel formalisms, problem classes, and theoretical investigations.
P. Bercher, R. Alford, D. Höller
semanticscholar   +1 more source

A Motion Planner Based on Mask-D3QN of Quadruped Robot Motion for Steam Generator

Biomimetics
Crawling robots are the focus of intelligent inspection research, and the main feature of this type of robot is the flexibility of in-plane attitude adjustment.
Biying Xu, Xuehe Zhang, Xuan Yu, Yue Ou, Kuan Zhang, Hegao Cai, Jie Zhao, Jizhuang Fan   +7 more
doaj   +1 more source

A Statistical Algorithm of Disaggregating the Industrial Enterprise Restructuring Strategy [PDF]

Problemi Ekonomiki, 2016
The aim of the article is to develop and test an algorithm of disaggregating the strategy plan for restructuring industrial enterprises within the concept of optimal planning based on the mathematical formulation of the problem of coordinating the ...
Kozyr-Chepurna Mariia A. , Alyokhin Alexey B.   +1 more
doaj  

Research on urban comprehensive energy planning system based on hierarchical framework and CAS theory

Energy Reports, 2022
The innovation of the city’s integrated energy system has become the key to China’s realization of “carbon peaks by 2030 and carbon neutrality by 2060”.
Hao Huang, Qi-fen Li, Yong-wen Yang, Li-ting Zhang, Zi-wen Dong   +4 more
doaj   +1 more source

Hierarchical DDPG for Manipulator Motion Planning in Dynamic Environments

AI, 2022
In this paper, a hierarchical reinforcement learning (HRL) architecture, namely a “Hierarchical Deep Deterministic Policy Gradient (HDDPG)” has been proposed and studied.
Dugan Um, Prasad Nethala, Hocheol Shin
doaj   +1 more source

A field study of team working in a new human supervisory control system [PDF]

, 2000
This paper presents a case study of an investigation into team behaviour in an energy distribution company. The main aim was to investigate the impact of major changes in the company on system performance, comprising human and technical elements. A socio-
ACKOFF R. L., ASHLEIGH M. J., BLACKLER F., CHAPANIS A., CUMMINGS T., DRURY C. G., DULEWICZ V., FOUSHEE H. C., GLENDON A. I., GUZZO R A., HACKMAN J. R., HETTENHAUS J. R., HOLLNAGEL E., KATZ D., KAWANO R., KEMP G. O., KRAUT R. E., LOCKETT M., M. J. Ashleigh, N. A. Stanton, STAMMERS R. B., STANTON N. A., TRIST E. L., VINCENTE K. J., VON BERTALANFFY L., WOODS D. D.   +25 more
core   +1 more source

Analytical Evaluation of Hierarchical Planning Systems [PDF]

Operations Research, 1981
Hierarchical planning systems have become popular for multilevel decision problems. After reviewing the concept of hierarchical planning and citing some examples, we describe a method for analytic evaluation of a hierarchical planning system. We show that multilevel decision problems can be nicely modeled as multistage stochastic programs.
Dempster, M. A. H., Fisher, M. L., Jansen, L., Lageweg, B. J., Lenstra, J. K., Rinnooy Kan, A. H. G.   +5 more
openaire   +2 more sources

A Hierarchical Extension of the D ∗ Algorithm [PDF]

, 2005
In this paper a contribution to the practice of path planning using a new hierarchical extension of the D ∗ algorithm is introduced. A hierarchical graph is stratified into several abstraction levels and used to model environments for path planning ...
Abascal, Julio, Cagigas Muñiz, Daniel
core  

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source