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Towards a generalized self-organizing multi-agent system. / CUHK electronic theses & dissertations collectionJanuary 2005 (has links)
A Multi-agent system (MAS) is one which has a number of independent software agents interact with each other to achieve a common goal or goals automatically. It is commonly known that many species are living in the form of a MAS as it has high adaptability on surviving in an unstructural environment. Based on the benefits of group living observed from the nature, MAS is a potential direction to solve a wide range of engineering problems including robotics, chemistry, finance and genetics. / As the goodness of a response is measured from the quantity of award received, optimization is necessary in self-organization. We proposed a novel global optimization algorithm called "Creativity Driven Optimization (CDO)" in the second part of this thesis. By introducing the idea of creativity, CDO requires fewer evaluations than that of three reference methods to search for a global optimum. / In order to maximize the ability of MAS, self-organization is an essential element to be considered. Self-organization refers to a process in which the knowledge of a system accumulated automatically without being guided by an outside source or super-intelligence. In addition, the knowledge is accumulated only when the system interacts with the environment. Therefore, a robust self-organizing MAS should use a minimum number of interaction to construct the strategy for a maximum award. This goal can be achieved by involving the unstructural environment modeling and optimal response generation. / In the first part of this thesis, a radial basis function (RBF) network called "Agent Swarm Regression Network (ASRN)" is proposed in which the training algorithm is modeled as an evolution of a rule-based MAS. Three sets of experiments show that the performance of ASRN is better than that of a conventional approach in terms of computation, complexity and memory usage. The experimental results show the acceptable generalization ability and accuracy of ASRN. / In the last part of this thesis, we presented a procedure learning algorithm of self-organizing agent (PLSOA) that consists of CDO, MRN and RKL. Instead of searching for the current response with a local maximum award with reinforcement learning, PLSOA generates a response sequence by optimizing an adaptive objective function that can adjust iteratively. The experimental results of three benchmark problems show that PLSOA is able to generate nearly optimal-length response sequences in three benchmark environments. In addition, the proposed algorithm has an advantage over the reference methods in terms of reduction on procedure evaluation. / In this thesis, we have made some major contributions towards a generalized self-organizing MAS which try to mimic the MAS in nature. / To tackle the modeling process of an unstructural environment, a sequentially trained neural network called "Memory Re gression Network (MRN)" is proposed in the third part of this thesis. Based on the human's learning strategy, fewer training samples are required to train MRN in which the accuracy and generalization of MRN is similar to a reference network. After estimating the environment, the optimal response function is constructed by the estimated environment with the cooperation of a newly proposed algorithm: Response Knowledge Learning (RKL). The simulation result shows that the predator trained by RKL catches the prey within 15 steps after 50 independent successful hunting trials. / Chow Chi-kin. / "November 2005." / Advisers: H. T. Tsui; J. B. Xu. / Source: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6604. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (p. 240-259). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.
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Self-organizing criticality among Chinese citiesLi, Shujuan 2009 May 1900 (has links)
This dissertation employs the theory of self-organizing criticality (SOC) into the study of
Chinese cities. SOC was proposed at the end of the 1980s to explain system complexity
by combining both self-organizing and critical behaviors. SOC has been broadly used in
explaining phenomena in physical and social sciences. However, few attempts have been
made to connect urban studies with SOC because of the extreme complexity of urban
phenomena. This study develops a generalized SOC to study Chinese cities at both the
inter-urban and the intra-urban levels.
At the inter-urban level, this study finds that the rank size distribution of Chinese cities
has followed Zipf's law since 1984. In addition, the rank size dynamics of Chinese cities
experienced a spatiotemporal shift. Before 1996, city rank increases in a few small- and
middle-sized cities because of favorable economic policies offered by the central
government. After 1996, a majority of the Chinese cities began to be involved in this
rank size shuffling. Cities with increasing ranks present clustered distribution, mainly along the south and east coastal areas. Part of the reason is that the market economy
mechanism has transcended policy factors in determining the city competitiveness.
At the intra-urban level, the study shows that Shenzhen's urban physical development is
currently facing physical environmental thresholds, shifting the development strategies
spatiotemporally from fringe and isolated growth to fringe and infill growth. The
resulted urban patches show power law relationship both in the area-perimeter
distributions and the magnitude-frequency distributions.
In summary, this research proves the applicability of the generalized SOC in urban
studies. At both the inter-urban and the intra-urban levels, the Chinese cities present the
characteristics of SOC. Given a stable condition of power law, shifts occur in the inside
dynamics of China's urban system and Shenzhen city.
This study is one of the few empirical urban studies based on SOC. The study
contributes to the literature on SOC theory and provides theoretical breakthroughs in
studying Chinese cities. Finally, this study has potential implications on urban policies
and urban development strategies.
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Estimating potential customer value using customer data : using a classification technique to determine customer value /Vallaud, Thierry. January 2009 (has links)
Thesis (M.S.) -- Central Connecticut State University, 2009. / Thesis advisor: Daniel Larose. "... in partial fulfillment of the requirements for the degree of Master of Science in Data Mining." Includes bibliographical references (leaves 37-39). Also available via the World Wide Web.
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Visualization tools for information exploration /Hong, Kam-kee, Kay. January 2001 (has links)
Thesis (M. Phil.)--University of Hong Kong, 2001. / Includes bibliographical references (leaves 119-122).
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Factors influencing effectiveness of interorganizational networks among crisis management organizations a comparative perspective /Sahin, Bahadir. January 2009 (has links)
Thesis (Ph.D.)--University of Central Florida, 2009. / Adviser: Thomas T. H. Wan. Includes bibliographical references (p. 196-209).
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Visualization tools for information exploration康錦琦, Hong, Kam-kee, Kay. January 2001 (has links)
published_or_final_version / Computer Science and Information Systems / Master / Master of Philosophy
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The role of self-organisation in the handling of adaptive challenges by enterprisesCarapiet, Saadia. Unknown Date (has links)
This thesis explores self-organisation in SMEs, and has developed a framework for the role of self-organisation in the handling of adaptive challenge by enterprises, based on existing theory and the empirical findings of this study. Analysing self-organisation in three Australian SMEs, a quantitative measure of the ability to self-organise (ASO index) is proposed, with communication as the main driver of self organisation. The efficacy of the ASO index scores for the SMEs is substantiated by empirical evidence of self-organisation. / Thesis (PhD)--University of South Australia, 2006.
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The role of self-organisation in the handling of adaptive challenges by enterprises /Carapiet, Saadia. Unknown Date (has links)
This thesis explores self-organisation in SMEs, and has developed a framework for the role of self-organisation in the handling of adaptive challenge by enterprises, based on existing theory and the empirical findings of this study. Analysing self-organisation in three Australian SMEs, a quantitative measure of the ability to self-organise (ASO index) is proposed, with communication as the main driver of self organisation. The efficacy of the ASO index scores for the SMEs is substantiated by empirical evidence of self-organisation. / Thesis (PhD)--University of South Australia, 2006.
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The role of self-organisation in the handling of adaptive challenges by enterprisesCarapiet, Saadia January 2006 (has links)
This thesis explores self-organisation in SMEs, and has developed a framework for the role of self-organisation in the handling of adaptive challenge by enterprises, based on existing theory and the empirical findings of this study. Analysing self-organisation in three Australian SMEs, a quantitative measure of the ability to self-organise (ASO index) is proposed, with communication as the main driver of self organisation. The efficacy of the ASO index scores for the SMEs is substantiated by empirical evidence of self-organisation.
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Data mining in the health care industry /Mowerman, Illya. January 2007 (has links)
Thesis (Ph.D.) -- University of Rhode Island, 2007 / Typescript. Includes bibliographical references (leaves 73-82).
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