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2006 IEEE International Conference on Computational Cybernetics

20-22 Aug. 2006

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Displaying Results 1 - 25 of 55
  • A New Concept of Genetic Operators for Scheduling Problems

    Publication Year: 2006, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3428 KB) | HTML iconHTML

    When a genetic algorithm (GA) is applied to scheduling problems, various crossovers and mutations can be applicable. We have to carefully select appropriate operators for constructing high performance GA, because GA performance depends on the choice of such operators as well as crossover and mutation probabilities. First, we present a new concept of genetic operators for scheduling problems. Then,... View full abstract»

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  • Augmenting the Human Entity Through Man/Machine Collaboration

    Publication Year: 2006, Page(s):1 - 6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1013 KB) | HTML iconHTML

    Both humans and machines exhibit strengths and weaknesses that can be enhanced by merging the two separate entities. This research aims to provide a broader understanding of how closer interaction between these two entities can facilitate more optimal goal related performance through the use of artificial extension of the human body. Such extension may assist us in adapting to and manipulate our e... View full abstract»

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  • Fuzzy Backing Control of Truck and Two Trailers

    Publication Year: 2006, Page(s):1 - 6
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB) | HTML iconHTML

    For a number of years, truck backer-upper problem has served as a benchmark for control among the practitioners of computational intelligence. In our works from the past we have shown how decomposition of the control problem and subsequent segmentation of the control system leads to substantial control performance improvement. In current paper, this control principle is extended to the much more c... View full abstract»

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  • Finding the Optimal Number of Clusters from Artificial Datasets

    Publication Year: 2006, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5664 KB) | HTML iconHTML

    This study deals with the problem of selecting the right number of clusters. Scale-free minimum spanning trees (SFMSTs) were constructed from the artificial test datasets, and the number of clusters, based on the distribution of the edge lengths, as well as the clustering itself was obtained from the structure. As a reference, the nearest neighbor and k-means clustering methods were used, and the ... View full abstract»

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  • Feedback Control of an Inverted Pendulum with the use of Artificial Intelligence

    Publication Year: 2006, Page(s):1 - 6
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (629 KB) | HTML iconHTML

    An inverted pendulum represents a simple device which is excellent for demonstrating the use of feedback control of an unstable system with different kinds of control strategies. In this work feedback control of a physical model of an inverted pendulum is investigated from the point of view of a state space model of the system. First a pole placement algorithm is thoroughly explored. After this an... View full abstract»

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  • A Note on Particle Swarm Optimization: An integrated and theoretical approach

    Publication Year: 2006, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (426 KB) | HTML iconHTML

    In this paper, a general and integrated form is proposed for the different kinds of particle swarm optimization. Also, some related theoretical results are given, including a convergence theorem for the random selection case and a lemma on probability percentile. To compare different PSO algorithms in effectiveness and efficiency, we propose three comparison indexes of universal standard. View full abstract»

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  • Term Clustering and Confidence Measurement in Document Clustering

    Publication Year: 2006, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4260 KB) | HTML iconHTML

    A novel topic based document clustering technique is presented in the paper for situations, where there is no need to assign all the documents to the clusters. Under such conditions the clustering system can provide a much cleaner result by rejecting the classification of documents with ambiguous topic. This is achieved by applying a confidence measurement for every classification result and by di... View full abstract»

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  • Generalized Incremental Small Gain

    Publication Year: 2006, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (269 KB) | HTML iconHTML

    This paper is directed on a using of Banach fixed-point theorem in the problem of stabilization of nonlinear systems. The theory is developed in Banach spaces with using general operator theory and may be applied both for continuous and for discrete systems. All theorems are proved and may be separated into two classes, global and local contraction operator theorems. It is studied possibility of p... View full abstract»

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  • Emergence of communication in multi-agent systems using reinforcement learning

    Publication Year: 2006, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2895 KB) | HTML iconHTML

    In this paper, the new approach to the emergence of communication between autonomous agents is introduced. The learning scheme is presented, which allows for emergence of efficient communication between agents in cooperative systems. Classical reinforcement learning framework extended to multi-agent systems is used. Language capabilities are modeled by modifying agents' policy. In order to do this... View full abstract»

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  • Scale-Free Networks Emerge out of Micro-Mechanism in an Agent-based Computational Economic Model

    Publication Year: 2006, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3889 KB) | HTML iconHTML

    The scale-free network structures have been prominently investigated as models of many social and economical networks. However, the topology structures of these complex networks usually lack micro mechanism supporting. In this paper, we propose an agent-based computational economic system - artificial economy market (AEM), in which scale-free transaction networks emerge from local interactions bet... View full abstract»

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  • Algorithmic mapping of MLP network on Neural DF KPI architecture

    Publication Year: 2006, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3607 KB) | HTML iconHTML

    Artificial neural networks gain increasingly higher popularity in application fields with stress laid on acquiring information in real-time. Although there are various implementations of neural networks available for sequential computer systems, lots of these models require an enormous amount of time for the training phase of neural network in case of large network. Therefore the new time saving c... View full abstract»

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  • Analysis support system of open-ended questionnaires based on atypical and typical opinions classification

    Publication Year: 2006, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5771 KB) | HTML iconHTML

    This paper proposes a support system for analyzing answers to open-ended questions supplied by mobile game users as content replies when they unsubscribe the services. The answers include useful, unexpected opinions (atypical opinions) and expected opinions (typical opinions). It is inefficient to read them all during analysis. Therefore, we propose a support system for analysis of questionnaire d... View full abstract»

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  • SWOT Analysis Support Tool for Verification of Business Strategy

    Publication Year: 2006, Page(s):1 - 4
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3222 KB) | HTML iconHTML

    To verify business strategies, it is essential to extract and analyze business information. The amount of business information is so enormous that it is time-consuming for an analyst to extract and analyze. Thus, we propose a support tool for verifying business strategies using SWOT analysis. This tool supports the extraction of factors for analysis. However, the information includes unnecessary f... View full abstract»

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  • On New General Class of 3π- Uninorms

    Publication Year: 2006, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (605 KB) | HTML iconHTML

    In this article we are presenting new class of uninorms starting from the 3π-uninorm. We give proof that this new class of the parameterized 3π-uninorm still holds all the properties of uninorms. We also add this new measure generalized mean and weights. We add this comparison measure into the typical instance based classification procedure and show that this new comparison measure... View full abstract»

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  • Defining Requirements for ad hoc Coalition Systems during Disasters

    Publication Year: 2006, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3624 KB) | HTML iconHTML

    The advent of terrorist threats has heightened local, regional, and national governments' interest in emergency response and disaster preparedness. The threat of natural disasters also challenges emergency responders to act swiftly and in a coordinated fashion. When a disaster occurs, an ad hoc coalition of pre-planned groups usually forms to respond to the incident. History has shown that these "... View full abstract»

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  • A Framework for the Rule-Based Compilation of Decision Networks

    Publication Year: 2006, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3797 KB) | HTML iconHTML

    Among the various types of decision support systems, decision-theoretic models and rule-based systems have gained considerable attraction. Both approaches have advantages and disadvantages. Decision-theoretic models like decision networks dispose of a sound fundamental mathematical basis and comfortable knowledge engineering tools. Rule-based systems provide an efficient execution architecture and... View full abstract»

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  • Intelligent Diagnosis System

    Publication Year: 2006, Page(s):1 - 3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (141 KB) | HTML iconHTML

    Auscultation of heart murmurs can detect various types of heart problems; however, this process is prone to human error because it involves a clinician evaluating and categorizing the heart sound via stethoscope. By implementing Soft Computing techniques to analyze the sound received from the stethoscope and classify the heart pathology, this research project introduces the intelligent diagnosis s... View full abstract»

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  • Providing a Basin of Attraction to a Target Region by Computation of Lyapunov-like Functions

    Publication Year: 2006, Page(s):1 - 5
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (136 KB) | HTML iconHTML

    In this paper, we present a method for computing a basin of attraction to a target region for non-linear ordinary differential equations. This basin of attraction is ensured by a Lyapunov-like polynomial function that we compute using an interval based branch-and-relax algorithm. This algorithm relaxes the necessary conditions on the coefficients of the Lyapunov-like function to a system of linear... View full abstract»

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  • Two Coupled Neurons

    Publication Year: 2006, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1916 KB) | HTML iconHTML

    We review the dynamical behaviour of a system of two coupled neurons. We consider symmetric and asymmetric linear coupling. The internal dynamics of each neuron is modeled by the space-clamped Hodgkin-Huxley equations. We start with the symmetric case. Results in the literature show that for strong enough coupling the two neurons show the same behaviour at all times. They may be periodically spiki... View full abstract»

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  • Multivariate Data Classification Using the Distribution Mapping Exponent

    Publication Year: 2006, Page(s):1 - 6
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6875 KB) | HTML iconHTML

    An exponent similar to the correlation dimension is introduced. This exponent is used for probability density estimation in high-dimensional spaces and for classification of multivariate data. It is also shown that this classifier exhibits significantly better behavior (classification accuracy) than other kinds of classifiers. View full abstract»

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  • A Data-Driven Approach for Improved Effective Classification in Predictive Toxicology

    Publication Year: 2006, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4056 KB) | HTML iconHTML

    Effective multi-class classification for complex data in real-life problems is an open-ended challenge. Prediction of toxic effects of chemical compounds based on experiments involving animals and human beings is very expensive in terms of time, social and financial cost. Therefore it is vital to make use of all available information obtained from experiments and build up a more effective hybrid c... View full abstract»

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  • Quantum Operator of Momentum in One-dimensional Lévy Processes

    Publication Year: 2006, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (373 KB) | HTML iconHTML

    For the quantum generalization of Levy processes, expressions for the one-dimensional Hermitian operator of momentum and its eigenfunctions are proposed. The normalization constant has been determined and its relation to the translation operator is shown. The interrelation between the momentum and the wave number has been generalized for the processes with a non-integer dimensionality alpha. Some ... View full abstract»

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  • Stackelberg duopoly with demand uncertainty

    Publication Year: 2006, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (370 KB) | HTML iconHTML

    We consider a symmetric Stackelberg model in which there is asymmetric demand information owned by first and second movers. We analyse the advantages of leadership and flexibility, and prove that when the leading firm faces demand uncertainty, but the follower does not, the first mover does not necessarily have advantage over the second mover. Moreover, we show that the advantage of one firm over ... View full abstract»

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  • Separating sequential equilibrium in a Bayesian international duopoly

    Publication Year: 2006, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1496 KB) | HTML iconHTML

    We consider two Cournot firms, one located in the home country and the other in the foreign country, producing substitute goods for consumption in a third country. We suppose that neither the home government nor the foreign firm know the costs of the home firm, while the foreign firm cost is common knowledge. We determine the separating sequential equilibrium outputs. View full abstract»

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  • A Bio-Inspired Model of Navigation in a Multi-Chamber Maze

    Publication Year: 2006, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3573 KB) | HTML iconHTML

    We present a model of spatial memory inspired by rodent hippocampus. Hippocampus is a part of brain involved in spatial orientation. The model provides a robust and efficient method of storing several navigational maps in a single attractor neural (Hopfield-like) network. It models such phenomena as place cells, long-term potentiation, long-term depression, path integration, inhibitory interneuron... View full abstract»

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