The realistic animation of the behavior of virtual agents emulating human beings and evolving within virtual 3D worlds (a field also known as artificial life) has received great attention during the last few years. Th...
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The realistic animation of the behavior of virtual agents emulating human beings and evolving within virtual 3D worlds (a field also known as artificial life) has received great attention during the last few years. The current challenge is to create a behavioral system for the virtual agents so that they behave as realistic as possible. Such a system should provide the agents with the most typical features of human intelligence: perception, recognition, memory, learning, reasoning, etc. Among the large number of different techniques to solve this problem, those based on artificial intelligence (AI) seem to be especially suitable for this purpose. In this paper, we apply several artificial intelligence techniques (such as neural networks, expert systems, fuzzy logic, K-means) to create a sophisticated behavioral system that allows the agents to take intelligent decisions by themselves. The paper describes the behavioral system, its main components and how these AI techniques have been effectively incorporated into the system. In order to show the good performance of our approach, an illustrative example is analyzed.
An alternating direction finite element scheme for a class of moving boundary problems is studied. Using coordinate transformations of the spatial variants, a new domain independent of the time is obtained and an ADFE...
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A new iterative method,which is called positive interior-point algorithm,is presented for solving the nonlinear complementarity *** method is of the desirable feature of *** the convergence theorems of the algorithm i...
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A new iterative method,which is called positive interior-point algorithm,is presented for solving the nonlinear complementarity *** method is of the desirable feature of *** the convergence theorems of the algorithm is *** addition,some numerical results are reported.
Ambos-Spies and Kučera [1, Problem 4.5] asked if there is a non-computable set A which is low for the computably random reals. We show that no such A is of hyper-immune degree. Thus, each g &leT A is dominated by ...
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Ambos-Spies and Kučera [1, Problem 4.5] asked if there is a non-computable set A which is low for the computably random reals. We show that no such A is of hyper-immune degree. Thus, each g ≤ T A is dominated by a co...
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Ambos-Spies and Kučera [1, Problem 4.5] asked if there is a non-computable set A which is low for the computably random reals. We show that no such A is of hyper-immune degree. Thus, each g ≤ T A is dominated by a computable function. Ambos-Spies and Kučera [1, problem 4.8] also asked if every S-low set is S 0 -low. We give a partial solution to this problem, showing that no S -low set is of hyper-immune degree.
This paper presents two algorithms to aid the supervised learning of feedforward neural networks. Specifically, an initialization and a learning algorithm are presented. The proposed methods are based on the independe...
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We revisit the two standard dense methods for matrix Sylvester and Lyapunov equations: The Bartels-Stewart method for A1X+XA2+D=0 and Hammarling's method for AX+XAT+BBT=0 with A stable. We construct three schemes ...
We present an overview of a portion of the compressible turbulence program associated with the ASC-sponsored Center for Simulation of Dynamic Response in Materials. Progress in several areas will be summarized. The fi...
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We have extended our research to the study of near-field polarization effects arising from the planar chirality. The interaction between the neighboring elements in a metallic structure can be visualized with near-fie...
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We have extended our research to the study of near-field polarization effects arising from the planar chirality. The interaction between the neighboring elements in a metallic structure can be visualized with near-fie...
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We have extended our research to the study of near-field polarization effects arising from the planar chirality. The interaction between the neighboring elements in a metallic structure can be visualized with near-field measurements. Coupling between metallic gammadions that gives rise to the scattered electromagnetic field with polarization components different from the polarization state of the incident light can be directly identified. We have also investigated far-field effects in two-dimensional gratings consisting of regular patterns of dielectric gammadions on a silicon substrate.
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