Browse by Subject "Artificial Intelligence"

  • Boeheim, Chidori Kawamura (1991)
    Distributed deadlock is a state where there exists among some processes running on different computers a cyclic wait to acquire some resources such that no process can proceed. Since a deadlock is a state that persists ...

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  • Taber, Charles Stephen (1991)
    One of the more fruitful systematic approaches to the study of foreign policy views nations as information processors and explains foreign policy as a function of information and processes on that information. Much of the ...

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  • Hilty, John A. (1992)
    This research investigated the potential of a technique from artificial intelligence, the classifier system, as a tool for time-series analyses in the social sciences. This technique is intriguing because of its similarity ...

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  • Nielsen, Paul Eric (1988)
    In order for a program to interact with the world as well as people do, we must provide it with a great deal of commonsense about the way things work. Reasoning about the geometric interactions and motions of objects is ...

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  • Graham, Mary Ann (1994)
    As the energy scales of high energy physics experiments increase, the amount of data which is available becomes difficult to manage. A method that can increase the signal to background ratio would be a clear advantage. The ...

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  • Halim, Irwan Suwarno (1991)
    A methodology to evaluate the reliability of geotechnical systems considering the presence of geological anomalies is developed. The proposed methodology consists of three major tasks: (i) modeling of the anomaly uncertainties ...

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  • Chun, Hon Wai (1987)
    Traditional artificial intelligence (AI) research has concentrated mostly on modeling high-level thought processes such as problem-solving and planning, and high-level representations such as rule-based heuristics and ...

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  • Haddawy, Peter Fahrid (1991)
    As the limitations of traditional AI plan representations have become apparent, researchers have turned to temporal logic as one means of providing rich languages for structuring planning knowledge. But these languages ...

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  • Do, Hiep; Dominiquez, Luis; Mason, Margaret; Wen, Jeff (2006-05-15)
    This project investigates the live subject research at the University of Illinois in the cognitive sciences field and focuses on the role of this research in furthering the development of artificial intelligence. The authors ...

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  • Kadie, Carl Myers (1995)
    The research presented here focuses on modeling machine-learning performance. The thesis introduces Seer, a system that generates empirical observations of classification-learning performance and then uses those observations ...

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  • Jouse, Wayne Curtis (1992)
    The risk reduction potential of the class of artificial neural networks based on the Barto-Sutton architecture is established. The risk associated with nuclear power operations is characterized by sequences of discrete ...

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  • Ding, Zhimin (1996)
    Sensory feedback plays an important role in adaptive control of insect leg movements as required, for example, in agile locomotion over irregular terrain. Functionally, insect legs are not just effectors--they are also ...

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  • Joshi, Tanuja Abhay (1995)
    The main focus of research in computer vision in the past has been on polyhedral objects that give rise to viewpoint-independent edges in the image. This thesis focuses on smooth curved objects that give rise to ...

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  • Reinke, Robert Eugene (1991)
    Clustering is the problem of finding a good organization for data. Because there are many kinds of clustering problems, and because there are many possible clusterings for any data set, clustering programs use knowledge ...

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  • Whitehurst, R. Alan (1995)
    This research focuses on analogical reasoning as applied to the problem of software reuse at the level of the system architecture. The resulting methodology may be thought of as a hybrid approach to software reuse, as it ...

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  • Thearling, Kurt Henry (1990)
    In the past, research has shown that the use of high-level test knowledge can be used to greatly accelerate the test generation process. The problem was that no techniques were developed to extract this knowledge from a ...

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  • Laud, Adam Daniel (2004-05)
    Applying conventional reinforcement to complex domains requires the use of an overly simplified task model, or a large amount of training experience. This problem results from the need to experience everything about an ...

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  • Tu, Pei-Lei (1989)
    The objective of this thesis is to design a new classification-tree algorithm which will outperform current algorithms with superior decision trees. The problem of generating a classification tree with the minimum path ...

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  • Levine, Geoffrey C. (2012-02-06)
    In order for a machine learning effort to succeed, an appropriate model must be chosen. This is a difficult task in which one must balance flexibility, so that the model can capture the complexities of the domain, and ...

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  • Kamalnath, Vishnu Nath (2013-08-22)
    This thesis deals with incorporating artificial intelligence into a humanoid robot by making a cognitive model of the learning process. The goal is to “teach” a specialized humanoid robot, the iCub robot, to solve any ...

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