Richard J. Doyle

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6ranked-venue papers

5as first author

0since 2021 · last 1995

—ORCID · unresolved

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

Artificial intelligence and machine learning · 6 · 5 first-authorGraphics, computer vision, multimedia, augmented reality and games · 5 · 5 first-author

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 4 papers		Knowledge representation and reasoning · 54% Time series and sequential data · 29% Planning, search and constraint satisfaction · 17%
Theoretical computer science 1 paper		Automated reasoning and model checking · 67% Mathematical optimization · 33%

Topics — the 6 heaviest of 9, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Machine learning › Time series and sequential data › anomaly detection anomaly segmentation	1	1995	Determining the Loci of Anomalies Using Minimal Causal Models · IJCAI 1995
Knowledge, reasoning and agents › Knowledge representation and reasoning causal reasoning	1	1995	Determining the Loci of Anomalies Using Minimal Causal Models · IJCAI 1995
Knowledge, reasoning and agents › Planning, search and constraint satisfaction plan execution	1	1986	Generating Perception Requests and Expectations to Verify the Execution of Plans · AAAI 1986
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning › planning evaluation plan verification	1	1986	Generating Perception Requests and Expectations to Verify the Execution of Plans · AAAI 1986
Mathematical optimization causal inference	1	1986	Constructing and Refining Causal Explanations from an Inconsistent Domain Theory · AAAI 1986
Automated reasoning and model checking causality-based explanation	1	1986	Constructing and Refining Causal Explanations from an Inconsistent Domain Theory · AAAI 1986

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

minimal causal models · 0.0expectation generation · 0.0domain theory refinement · 0.0

Year	Publication	Venue	Position
1995	Determining the Loci of Anomalies Using Minimal Causal Models Richard J. Doyle	IJCAI	1
1991	Machine Learning in Engineering Automation Steve A. Chien, Bradley L. Whitehall, Thomas G. Dietterich, Richard J. Doyle, Brian Falkenhainer, James Garrett, Stephen C. Y. Lu	ML	4
1989	Reasoning About Hidden Mechanisms Richard J. Doyle	IJCAI	1
1989	A Focused, Context-Sensitive Approach to Monitoring Richard J. Doyle, Suzanne M. Sellers, David Atkinson	IJCAI	1
1986	Constructing and Refining Causal Explanations from an Inconsistent Domain Theory Richard J. Doyle	AAAI	1
1986	Generating Perception Requests and Expectations to Verify the Execution of Plans Richard J. Doyle, David Atkinson, Rajkumar Doshi	AAAI	1