Doctoral Dissertations

Alternative Title

Spatial temporal reasoning applications of computational intelligence in the game of Go and computer networks

Author

Tae-Hyung Kim

Keywords and Phrases

Cellular simultaneous recurrent network; Collectively cooperative learning; Weiqi

Abstract

"Spatial-temporal reasoning is the ability to reason with spatial images or information about space over time. In this dissertation, computational intelligence techniques are applied to computer Go and computer network applications. Among four experiments, the first three are related to the game of Go, and the last one concerns the routing problem in computer networks.

The first experiment represents the first training of a modified cellular simultaneous recurrent network (CSRN) trained with cellular particle swarm optimization (PSO). Another contribution is the development of a comprehensive theoretical study of a 2x2 Go research platform with a certified 5 dan Go expert. The proposed architecture successfully trains a 2x2 game tree. The contribution of the second experiment is the development of a computational intelligence algorithm calledcollective cooperative learning (CCL). CCL learns the group size of Go stones on a Go board with zero knowledge by communicating only with the immediate neighbors. An analysis determines the lower bound of a design parameter that guarantees a solution. The contribution of the third experiment is the proposal of a unified system architecture for a Go robot. A prototype Go robot is implemented for the first time in the literature. The last experiment tackles a disruption-tolerant routing problem for a network suffering from link disruption. This experiment represents the first time that the disruption-tolerant routing problem has been formulated with a Markov Decision Process. In addition, the packet delivery rate has been improved under a range of link disruption levels via a reinforcement learning approach"--Abstract, page iv.

Advisor(s)

Wunsch, Donald C.

Committee Member(s)

Zheng, Y. Rosa
Grant, Steven L.
Sarangapani, Jagannathan, 1965-
Sanjay, Madria

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Sponsor(s)

  • United States. Defense Advanced Research Projects Agency
  • Mary K. Finley Missouri Endowment
  • Missouri University of Science and Technology. Intelligent Systems Center
  • National Science Foundation (U.S.)

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2012

Journal article titles appearing in thesis/dissertation

  • Modified cellular simultaneous recurrent networks with cellular particle swarm optimization
  • Recursive and non-recursive algorithms for the group size counting problem in computer Go
  • Robotic Go: exploring a different perspective on human-computer interaction with the game of Go
  • Reconfigurable disruption tolerant routing via reinforcement learning

Pagination

xiii, 144 pages

Note about bibliography

Includes bibliographical references.

Rights

© 2012 Tai-Hyung Kim, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Computational intelligence
Go (Game)
Neural networks (Computer science)

Thesis Number

T 10003

Print OCLC #

815660373

Electronic OCLC #

776700896

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