Combat Unit Selection Based on Hybrid Neural Network in Real-Time Strategy GamesReal-Time Strategy (RTS) games are one of the most complex and challenging areas from the perspective of artificial intelligence. Besides, some real-time wargaming platforms not only have the characteristics of large ...
Overall, RTNet is a promising model of human RTs that exhibits the critical signatures of perceptual decision-making. This is a preview of subscription content, access via your institution Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-...
These results are in line with our previous finding that the valence-induced bias on confidence and on RTs are partially dissociable33. Confidence is encoded in a positive ventromedial-prefrontal and a negative parieto-frontal network Our neuroimaging investigations focus on confidence signals that are...
Evarts, E. V., Landau, W., Freygang, W. Jr. & Marshall, W. H. Some effects of lysergic acid diethylamide and bufotenine. Am. J. Physiol. 182, 594–598 (1955). Article CAS PubMed Google Scholar Rose, D. & Horn, G. Effects of LSD on the responses of single units in cat...
we propose a deep feature fusion neural network to handle the above imperfect and complex information of the environment for opponent strategies recognition in RTS game. We test our method on the canonical RTS game, i.e., Starcraft II, and promising performance has been obtained. © 2020 IEEE...
49、rts. Learning can be perceived as an optimisation process. Biological neural learning happens by the modification of the synaptic strength. Artificial neural networks learn in the same way. The synapse strength modification rules for artificial neural networks can be derived by applying mathematical...
zabel wj, conway jl, gladwish a, skliarenko j, didiodato g, goorts-matthews l, et al. clinical evaluation of deep learning and atlas-based auto-contouring of bladder and rectum for prostate radiation therapy. pract radiat oncol. 2021;11(1):e80–9. article google scholar lust...
(Fig.1d), which allowed the incorporation of RTs into a rescoring workflow (Fig.1e). The Siamese part of the network (embedding layer and recurrent layer) shares the same weights for both peptides. Practically, the sharing of weights leads to consistent predictions, independent of the peptide...
valence-induced bias on confidence and on RTs are partially dissociable33. Confidence is encoded in a positive ventromedial-prefrontal and a negative parieto-frontal network Our neuroimaging investigations focus on confidence signals that are elicited at the decision stage (i.e., during symbol ...
Current harmonics may result from nonlinear load operations produced by power electronic devices and applications which are injected into the supply network through a point of common coupling (PCC). Specifically, in smart grid systems, these problems may arise with involvement of multiple energy ...