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A. Joseph Hoane Jr.

dblp:10/227 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Planning, search and constraint satisfaction · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › game playing
chess		 0.012002
Deep Blue · Artif. Intell. 2002
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
game playing		 0.012002
Deep Blue · Artif. Intell. 2002
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
heuristic search		 0.012002
Deep Blue · Artif. Intell. 2002

Methods — techniques the papers use, named apart from their topics

evaluation function · 0.0alpha-beta search · 0.0
YearPublicationVenuePosition
2002 Deep Blue
Murray Campbell, A. Joseph Hoane Jr., Feng-Hsiung Hsu
 Artif. Intell.2
1995 Deep Blue System Overview
abstract
One of the oldest Grand Challenge problems in com-puter science is the creation of a World Championship level chess computer. Combining VLSI custom circuits, dedicated massively parallel C @ search engines, and various new search algorithms, Deep Blue is designed to be such a computer. This paper gives an overview of the system, and examines the prospects of reaching the goal. 1
Feng-Hsiung Hsu, Murray Campbell, A. Joseph Hoane Jr.
 International Conference on Supercomputing3