# Byung Doo Lee > author of 2004 doctoral thesis at University of Auckland titled Multi-strategic learning, reasoning and searching in the game of Go **Wikidata**: [Q127272400](https://www.wikidata.org/wiki/Q127272400) **Source**: https://4ort.xyz/entity/byung-doo-lee ## Summary Byung Doo Lee is a computer scientist and the author of the 2004 doctoral thesis "Multi-strategic learning, reasoning and searching in the game of Go," completed at the University of Auckland. As a professional in the field of computer science, he focuses on the theoretical foundations of information and computation, specifically within the domain of artificial intelligence and game strategy. ## Biography - Born: [Not specified in source material] - Nationality: [Not specified in source material] - Education: Doctor of Philosophy (2004), University of Auckland - Known for: Authoring the doctoral thesis "Multi-strategic learning, reasoning and searching in the game of Go" - Employer(s): [Not specified in source material] - Field(s): Computer Science ## Contributions Byung Doo Lee's primary documented contribution is his doctoral research completed in 2004 at the University of Auckland. Under the supervision of Hans Guesgen and Jacky Baltes, he authored the thesis "Multi-strategic learning, reasoning and searching in the game of Go." This work is associated with the NZThesisProject and contributes to the academic understanding of computational strategies, specifically regarding how machines can employ multiple strategies for learning, reasoning, and searching within the complex environment of the game Go. ## FAQs ### What is Byung Doo Lee's occupation? Byung Doo Lee is a computer scientist, a profession classified under the International Standard Classification of Occupations (ISCO-08) code 2511. ### What is the title of Byung Doo Lee's doctoral thesis? His thesis is titled "Multi-strategic learning, reasoning and searching in the game of Go," which he authored in 2004. ### Where did Byung Doo Lee receive his PhD? He earned his Doctor of Philosophy from the University of Auckland in 2004. ### Who were the academic advisors for Byung Doo Lee? His doctoral research was supervised by Hans Guesgen and Jacky Baltes. ### How does a computer scientist differ from a computational scientist? According to the professional classification relevant to Lee's field, a computer scientist focuses on the theoretical foundations of information and computation and the design of computational systems, whereas a computational scientist typically applies computational methods to other scientific disciplines. ## Why They Matter Byung Doo Lee's work matters because it addresses the theoretical underpinnings of artificial intelligence through the lens of the game Go, a domain often used to benchmark algorithmic complexity. By researching multi-strategic learning and reasoning, he contributes to the advancement of computational systems that can solve complex problems. As a computer scientist, his role is distinct from that of a computational scientist; he works on the scientific basis for software and systems that modern society depends on, pushing the boundaries of what is computationally feasible in game strategy and search algorithms. ## Notable For - **Academic Achievement**: Earning a Doctor of Philosophy from the University of Auckland in 2004. - **Research Publication**: Authoring the thesis "Multi-strategic learning, reasoning and searching in the game of Go." - **Professional Classification**: Being formally recognized as a computer scientist, a profession with the Dewey Decimal Classification number 004.092. - **Advisory Recognition**: Completing doctoral research under the guidance of notable advisors Hans Guesgen and Jacky Baltes. ## Body ### Academic Career Byung Doo Lee pursued his advanced studies at the University of Auckland, a major institution in the field of computer science. In 2004, he was awarded a Doctor of Philosophy degree. His academic work was conducted under the mentorship of doctoral advisors Hans Guesgen and Jacky Baltes. The culmination of his studies at the university was the submission and acceptance of his doctoral thesis, which is cataloged as part of the NZThesisProject. ### Research Focus: The Game of Go The specific focus of Lee's research was the game of Go, a complex board game that serves as a significant challenge in the field of artificial intelligence. His thesis, "Multi-strategic learning, reasoning and searching in the game of Go," explores the theoretical and practical aspects of how computational systems can navigate this environment. The title indicates a comprehensive approach, combining learning mechanisms, reasoning processes, and search algorithms. This work contributes to the broader body of knowledge regarding how machines can mimic or exceed human cognitive strategies in constrained environments. ### Professional Classification and Context Byung Doo Lee is professionally defined as a computer scientist. This occupation is characterized by a focus on the theoretical foundations of information and computation, distinguishing it from the role of a computational scientist. Computer scientists are classified as technology specialists, systems analysts, and computer experts, and they operate across both the industrial and service sectors. The profession is formally recognized by various international standards: * **ISCO-08 Code**: 2511 * **Dewey Decimal Classification**: 004.092 * **Library of Congress Authority ID**: sh85029497 While the specific tools of the trade include computing terminology and computer science journals, the field is highly interdisciplinary. Although Lee's specific work centers on Go, the profession includes individuals who have revolutionized the digital world, such as Tim Berners-Lee, the inventor of the World Wide Web. The patron saint of this profession is Isidore of Seville. Lee's work fits into this professional landscape by addressing the "theory of computation and the design of computational systems," specifically through the development of algorithms for strategic game playing. ## References 1. [Source](http://hdl.handle.net/2292/1241) 2. [Source](https://orcid.org/0000-0003-3561-2229)