Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Marc Luria

dblp:84/6599 · DBLP profile ↗
← Back
4ranked-venue papers
3as first author
0since 2021 · last 1988
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 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
3 papers
Planning, search and constraint satisfaction · 57% Trustworthy machine learning · 29% Question answering and dialogue systems · 14%

Topics — the 3 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning › knowledge-based planning
commonsense planning
0.011987
Expressing Concern · ACL 1987
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
plan representation
0.011987
Expressing Concern · ACL 1987
Natural language and speech › Question answering and dialogue systems › question understanding
question decomposition
0.011982
Dividing Up the Question Answering Process · AAAI 1982

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

knowledge-intensive planning · 0.0
YearPublicationVenuePosition
1988 The Berkeley UNIX Consultant Project
Robert Wilensky, David N. Chin, Marc Luria, James H. Martin, James Mayfield, Dekai Wu
Comput. Linguistics3
1987 Expressing Concern
abstract
A consultant system's main task is to provided helpful advice to the user. Consultant systems should not only find solutions to user problems, but should also inform the user of potential problems with these solutions. Expressing such potential caveats is a difficult process due to the many potential plan failures for each particular plan in a particular planning situation. A commonsense planner, called KIP, Knowledge Intensive Planner, is described. KIP is the planner for the UNIX Consultant system. KIP detect potential plan failures using a new knowledge structure termed a concern. Concerns allow KIP to detects plan failures due to unsatisfied conditions or goal conflict. KIP's concern algorithm also is able to provide information to the expression mechanism regarding potential plan failures. Concern information is passed to the expression mechanism when KIP's selected plan might not work. In this case, KIP passes information regarding both the suggested plan and the potential caveats in that plan to the expression mechanism. This is an efficient approach since KIP must make such decisions in the context of its planning process. A concern's declarative structure makes it easier to express than procedural descriptions of plan failures used by earlier systems.
Marc Luria
ACL1
1987 Goal Conflict Concerns
Marc Luria
IJCAI1
1982 Dividing Up the Question Answering Process
Marc Luria
AAAI1