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George Papadimitriou 0005

dblp:305/1413 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Theory of computation · 1 · 1 since 2021

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
Knowledge representation and reasoning · 50% Optimization for machine learning · 50%
Theoretical computer science
1 paper
Logic in computer science · 50% Algorithmic game theory and mechanism design · 50%
Databases, data mining, and information retrieval
1 paper
Query processing and optimization · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Optimization for machine learning
lexicographic preference
0.512021
A Many-valued Logic for Lexicographic Preference Representation · KR 2021
Knowledge, reasoning and agents › Knowledge representation and reasoning › nonmonotonic reasoning › preference handling › preference reasoning
preference representation
0.512021
A Many-valued Logic for Lexicographic Preference Representation · KR 2021
Query processing and optimization
preference query
0.512021
A Many-valued Logic for Lexicographic Preference Representation · KR 2021
Logic in computer science
many-valued logic
0.512021
A Many-valued Logic for Lexicographic Preference Representation · KR 2021
Algorithmic game theory and mechanism design › social choice › computational social choice
preference representation
0.512021
A Many-valued Logic for Lexicographic Preference Representation · KR 2021
YearPublicationVenuePosition
2021 A Many-valued Logic for Lexicographic Preference Representation
abstract
We introduce lexicographic logic, an extension of propositional logic that can represent a variety of preferences, most notably lexicographic ones. The proposed logic supports a simple new connective whose semantics can be defined in terms of finite lists of truth values. We demonstrate that, despite the well-known theoretical limitations that pose barriers to the quantitative representation of lexicographic preferences, there exists a subset of the rational numbers over which the proposed new connective can be naturally defined. Lexicographic logic can be used to define in a simple way some well-known preferential operators, like "A and if possible B", and "A or failing that B". We argue that the new logic is an effective formalism for ranking query results according to the satisfaction level of user preferences.
Angelos Charalambidis, George Papadimitriou 0005, Panos Rondogiannis, Antonis Troumpoukis
KR2