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Multi-strategic learning, reasoning and searching in the game of Go

2004 doctoral thesis by Byung Doo Lee at University of Auckland
Place doctoral_thesis Q112859946
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Multi-strategic learning, reasoning and searching in the game of Go

Summary

Multi-strategic learning, reasoning and searching in the game of Go is a doctoral thesis[1].

Key Facts

  • Multi-strategic learning, reasoning and searching in the game of Go authored Byung Doo Lee[2].
  • Multi-strategic learning, reasoning and searching in the game of Go's instance of is recorded as doctoral thesis[3].
  • Multi-strategic learning, reasoning and searching in the game of Go's publisher is recorded as ResearchSpace@Auckland[4].
  • Multi-strategic learning, reasoning and searching in the game of Go's country of origin is recorded as New Zealand[5].
  • Multi-strategic learning, reasoning and searching in the game of Go's publication date is recorded as +2004-00-00T00:00:00Z[6].
  • Multi-strategic learning, reasoning and searching in the game of Go's main subject is recorded as computer science[7].
  • Multi-strategic learning, reasoning and searching in the game of Go's Handle ID is recorded as 2292/1241[8].
  • Multi-strategic learning, reasoning and searching in the game of Go's title is recorded as Multi-strategic learning, reasoning and searching in the game of Go[9].
  • Multi-strategic learning, reasoning and searching in the game of Go's copyright holder is recorded as Byung Doo Lee[10].
  • Multi-strategic learning, reasoning and searching in the game of Go's thesis submitted to is recorded as University of Auckland[11].
  • Multi-strategic learning, reasoning and searching in the game of Go's on focus list of Wikimedia project is recorded as NZThesisProject[12].
  • Multi-strategic learning, reasoning and searching in the game of Go's copyright status is recorded as copyrighted[13].
  • Multi-strategic learning, reasoning and searching in the game of Go's online access status is recorded as closed user group[14].
  • Multi-strategic learning, reasoning and searching in the game of Go's thesis committee member is recorded as Hans Guesgen[15].
  • Multi-strategic learning, reasoning and searching in the game of Go's thesis committee member is recorded as Jacky Baltes[16].

Body

Designation and Status

Multi-strategic learning, reasoning and searching in the game of Go's instance of is recorded as doctoral thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Multi-strategic learning, reasoning and searching in the game of Go. Retrieved May 3, 2026, from https://4ort.xyz/entity/multi-strategic-learning-reasoning-and-searching-in-the-game-of-go
MLA “Multi-strategic learning, reasoning and searching in the game of Go.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/multi-strategic-learning-reasoning-and-searching-in-the-game-of-go.
BibTeX @misc{4ortxyz_multi-strategic-learning-reasoning-and-searching-in-the-game-of-go_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-strategic learning, reasoning and searching in the game of Go}}, year = {2026}, url = {https://4ort.xyz/entity/multi-strategic-learning-reasoning-and-searching-in-the-game-of-go}, note = {Accessed: 2026-05-03}}
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