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In the report, Mr. Coyle said the Pentagon was facing undue pressure "to meet an artificial decision point in the development process".
The proposed equalizer consists of several simple small-scale functional link artificial decision feedback recurrent neural network (FLADFRNN) modules with less computational complexity.
This paper presents a computationally efficient nonlinear adaptive filter by a pipelined functional link artificial decision feedback recurrent neural network (PFLADFRNN) for the design of a nonlinear channel equalizer.
We systematically investigate the effects of phenotypic diversity, network structure, and rewards on cooperative behavior emerging in a population of reproducing artificial decision makers playing tag-mediated evolutionary games.
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The final weight of evidence favoring one or the other response was expressed as the "likelihood ratio", a formulation that has exerted a prodigious impact on subsequent studies of decision-making and on the development of artificial decision-making algorithms.
The sophisticated solutions consist of a series of mathematical models of track conditions which are matched with information from the sensors and then use artificial intelligence decision-making – a process in which Salford is a leading developer – to pass on instant information.
A definition of an artificial emotional decision-making system was implemented and applied to real data of the New York Stock Exchange Market.
In recent years, artificial intelligence-based decision algorithms have been proposed for adaptive decision.
Advances in negotiation research have been made in social psychology, distributed artificial intelligence, and decision theory.
In this paper, an artificial bee-based decision tree (ABBDT) is applied to filter spam e-mails for iPhone.
The predictive modeling approaches for this research include artificial neural networks, decision trees, simple probabilistic classifiers, and ensembles.
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