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Increasing the efficiency of NPCs using a focus of attention based on emotions and personality

Increasing the efficiency of NPCs using a focus of attention...

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作者： Signoretti, Alberto Feitosay, Antonino Camposy, André M. Canutoy, Anne M. Fialhoz, Sergio V. Computer Science Dept. UERN Natal-RN Brazil Computer Science and Applied Mathematics Dept.- DIMAp UFRN Natal-RN Brazil Automation and Computer Engineering Dept. - DCA UFRN Natal-RN Brazil

ISBN: (纸本)9780769543598

Several games nowadays try to improve the player immersion by representing human behavior as real as possible, generally using agent technologies to model non-player characters (NPCs). However, agent-based behavioral models representing the existing complexity of, for instance, a decision-making for a real life situation can become a very intensive computing task. For this reason, real-time simulationbased games may benefit from optimizations produced on how NPCs react to changes in the simulated game world. This paper presents an approach for speeding up the decision-making of autonomous agents representing NPCs of a game. The optimization is reached by bounding the agent perception to a subset of all agent surrounding elements, which contains only the most important elements for the agent at current time. In other words, the agent is modeled as having \focus of attention". The attention focus represented in this work is based on theories of emotions and personality. © 2010 IEEE.

关键词： Decision making

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Approximate off-line receding horizon control of constrained nonlinear discrete-time systems: Smooth approximation of the control law

Approximate off-line receding horizon control of constrained...

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作者： Pin, Gilberto Filippo, Marco Pellegrino, Felice Andrea Fenu, Gianfranco Parisini, Thomas Danieli Automation S.p.A Italy Dept. of Electrical Electronic and Computer Engineering DEEI University of Trieste Italy

ISBN: (纸本)9781424474264

In this work, the off-line approximation of state-feedback nonlinear model predictive control laws by means of smooth functions of the state is addressed. The idea is to investigate how the approximation errors affect the stability of the closed-loop system, in order to derive suitable bounds which have to be fulfilled by the approximating function. This analysis allows to conveniently set up the characteristic parameters of some techniques such as Neural Networks which can be used to implement the control law, in order to render the system Input-to-State Practically Stable while satisfying, in addition, hard constraints on the trajectories;both the amount of data storage and the computational time result strongly reduced with respect to Nearest Neighbor or Set Membership approaches, which have been recently proposed to obtain effective off-line approximation of nonlinear MPC. The provided simulations confirm the validity of the method. © 2010 AACC.

关键词： State feedback

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Modeling contextualized textual knowledge as a long-term working memory

Modeling contextualized textual knowledge as a long-term wor...

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18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2010

作者： Mazzieri, Mauro Topi, Sara Dragoni, Aldo Franco Vallesi, Germano Univiversità Politecnica delle Marche Dept. of Computer Management and Automation Engineering via Brecce Bianche 22 60100 Ancona Italy

ISBN: (纸本)2930307102

A knowledge management system is more than an archive of textual documents;it provides context information, allowing to know which documents where used by people with a common goal. In the hypothesis that a set of textual documents with a common context can be assimilated to the long term memory of a human expert executor, we can use on them mining techniques inspired by the mechanic of human comprehension in expert domains. Text mining techniques for KM task can use a model of the long-term memory to extract meaningful keywords from the documents. The model acts as a dynamic and non-stationary dimensionality reduction strategy, allowing the clustering of context documents according to keyword presence, the classification of external documents according to local criteria, and a better understanding of document content and relatedness.

关键词： Knowledge management

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Free form face recognition using kernel sparse representation 10

Free form face recognition using kernel sparse representatio...

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Proceedings of the Seventh Indian Conference on computer Vision, Graphics and Image Processing

作者： Anoop, K.R. Narasimhan, R.S. Ramakrishnan, K.R. Bhattacharya, Chiranjib Dept. of Electrical Engineering Indian Institute of Science Bangalore India Computer Science and Automation Indian Institute of Science Bangalore India

ISBN: (纸本)9781450300605

Recognizing faces from face detector outputs is a hard problem. While existing face recognition (FR) techniques essentially work on pre-processed (cropped and aligned) data, we employ Gabor-based covariance descriptors for recognition from free-form faces (raw face detector outputs). Our recognition algorithm employs a Principal Geodesic Analysis (PGA) of Covariance Descriptors, followed by a transformation on to tangent space where faces are sparsely represented. Employing the kernel trick on this sparse feature space enables upto 10% improvement in recognition accuracy. © 2010 ACM.

关键词： Face recognition

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Double inverted pendulum control by linear quadratic regulator and reinforcement learning

Double inverted pendulum control by linear quadratic regulat...

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IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, ICCC-CONTI 2010

作者： Biro, Sandor Precup, Radu-Emil Todinca, Doru Crabel Capital Research Timisoara Romania Dept. of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania Dept. of Computer Science and Engineering Politehnica University of Timisoara Timisoara Romania

ISBN: (纸本)9781424474332

The paper gives an original combination of linear quadratic regulator and reinforcement learning dedicated to the position control of a double inverted pendulum system. An agent based on a modified Sarsa algorithm is applied to swing up the pendulum. The linear quadratic regulator is applied to the linearized mathematical model of the process in the vicinity of upright position. Digital simulation results show the performance of the new approach. © 2010 IEEE.

关键词： Reinforcement learning

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Fuzzy feed forward system based on T-S model applied for constant power control in wind power system

Fuzzy feed forward system based on T-S model applied for con...

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International Conference on Machine Learning and Cybernetics

作者： Peng, Hai-Liang Guo, Peng Jia, Jian-Jun Dept. of Automation and Computer Engineering North China Electric Power University Beijing 102206 China Zhumadian Electric Power Corporation Henan 463000 China

ISBN: (纸本)9781424465262

Constant power control technology is one of the key technologies in wind power control. PI control is the most widely used technology in constant power control system. Hysteresis of PI control will cause a large overshoot of the output power that will make interference to the power grid. Feedforward control system can reduce the system lag. The fuzzy controller based on T-S model can overcome the influence caused by non-linear and uncertain mathematical model of the system. The fuzzy controller makes the feedforward controller easy to realize. Introducing neural network training method into Fuzzy control will greatly simplify the design of fuzzy controller. Based on Neural Adaptive - Fuzzy technology, a feed forward system is proposed in this paper, which is able to timely adjust pitch angle according to changes of wind speed. At last, the control strategy is simulated by MATLAB. The simulation results show that the method greatly improves the performance of system dynamic response, thus ensuring a constant power output. © 2010 IEEE.

关键词： Fuzzy control

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RETRACTED ARTICLE: Material inner defect detection by a vibration spectrum analysis

RETRACTED ARTICLE: Material inner defect detection by a vibr...

引用

作者： Krejcar, Ondrej Frischer, Robert Dept. of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science Ostrava Czech Republic Dept. of Automation and Computing in Metallurgy VSB Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424474806

In this paper is described possibility of nondestructive diagnostics of solid objects by software analysis of vibration spectrum. With using platform MATLAB, we can process and evaluate information from accelerometer, which is placed on the measured object The analog signal is digitized by special I/O device dSAPCE CP-1104 and then processed offline with FFT (Fast Fourier Transform). The power spectrum is then examined by developed evaluating procedures and individual results are displayed in bar graph. When we take a look on results, there is an evidently correlation between spectrum and examining object (inner defects). © 2010 IEEE.

关键词： Spectrum analysis

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Tensor product model transformation based friction compensation of a mechatronic system

Tensor product model transformation based friction compensat...

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14th International Conference on Intelligent engineering Systems, INES 2010

作者： Takarics, Béla Korondi, Péter Baranyi, Péter Dept. of Mechatronics Optics and Engineering Informatics Budapest University of Technology and Economics Budapest Hungary Cognitive Informatics Research Group Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9781424476527

The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter-Varying (LPV) state-space models into polytopic model form, namely, to parameter-varying convex combination of Linear Time Invariant (LTI) systems. The main advantage of the TP model transformation is that it is executable in a straightforward way and the Linear Matrix Inequality (LMI) based control design frameworks can immediately be applied to the resulting polytopic models to yield controllers with tractable and guaranteed performance. The main contribution of this paper is that it represents the friction of a DC servo drive in TP model form, automatically designs LMI based controller for friction compensation. The reference signal compensation is also based on the TP model transformation. The results were simulated for speed control of the DC servo drive and were compared to other control techniques. © 2010 IEEE.

关键词： Controllers

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Control performance optimization by convex hull manipulation

Control performance optimization by convex hull manipulation

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19th International Workshop on Robotics in Alpe-Adria-Danube Region, RAAD 2010

作者： Gróf, Patricia Baranyi, Péter Korondi, Péter Computer and Automation Research Institute Cognitive Informatics Research Group Hungary Budapest University of Technology and Economics Dept. of Telecommunications and Media Informatics Hungary Budapest University of Technology and Economics Dept. of Mechatronics Optics and Engineering Informatics Hungary

ISBN: (纸本)9781424468867

This paper deals with the topic of qLPV statespace model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytopic model influences the control performance of the LMI based control design. We examine these influences through the controller and observer design of the two dimensional aeroelastic wing's example. First we define various TP type polytopic model representations of a wing section whose vertices define different convex hulls. In the second step we investigate how these models change the control performance. © 2010 IEEE.

关键词： Computational geometry

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Determination of the stability parameter space of a two dimensional aeroelastic system, a TP model-based approach

Determination of the stability parameter space of a two dime...

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14th International Conference on Intelligent engineering Systems, INES 2010

作者： Gróf, Patricia Baranyi, Péter Korondi, Péter Cognitive Informatics Research Group Computer and Automation Research Institute Hungary Dept. of Telecommunications and Media Informatics Budapest University of Technology and Economics Hungary Dept. of Mechatronics Optics and Engineering Informatics Budapest University of Technology and Economics Hungary

ISBN: (纸本)9781424476527

This paper falls in the topic of qLPV state-space model based control design in which LMIs are used to optimize the multi-objective control performance. In this paper we investigate how the convex hull of the polytopic model influences the feasibility of the LMI based control design and the resulting control performances. We examine these influences through the control design of the two dimensional aeroelastic system's example. First we define various TP type polytopic model representations of a wing section whose vertices define different convex hulls. In the second step we investigate how these models lead to different control performances. © 2010 IEEE.

关键词： State space methods

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