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Giorgio Dalla Pozza

dblp:47/9854 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2011
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 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.

Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 100%
Artificial intelligence
1 paper
Multi-agent systems · 50% Planning, search and constraint satisfaction · 50%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › social choice
preference aggregation
0.112011
Multi-Agent Soft Constraint Aggregation via Sequential Voting · IJCAI 2011
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
soft constraints
0.112011
Multi-Agent Soft Constraint Aggregation via Sequential Voting · IJCAI 2011
Algorithmic game theory and mechanism design › social choice › voting
sequential voting
0.112011
Multi-Agent Soft Constraint Aggregation via Sequential Voting · IJCAI 2011
Algorithmic game theory and mechanism design
social choice
0.112011
Multi-Agent Soft Constraint Aggregation via Sequential Voting · IJCAI 2011
Algorithmic game theory and mechanism design › mechanism design › incentive compatibility
strategyproofness
0.012011
Multi-Agent Soft Constraint Aggregation via Sequential Voting · IJCAI 2011

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

soft constraint aggregation · 0.2sequential voting · 0.2
YearPublicationVenuePosition
2011 Multi-agent Soft Constraint Aggregation - A Sequential Approach
Giorgio Dalla Pozza, Francesca Rossi 0001, K. Brent Venable
ICAART (1)1
2011 Multi-Agent Soft Constraint Aggregation via Sequential Voting
abstract
We consider scenarios where several agents must aggregate their preferences over a large set of candidates with a combinatorial structure. That is, each candidate is an element of the Cartesian product of the domains of some variables. We assume agents compactly express their preferences over the candidates via soft constraints. We consider a sequential procedure that chooses one candidate by asking the agents to vote on one variable at a time. While some properties of this procedure have been already studied, here we focus on independence of irrelevant alternatives, non-dictatorship, and strategy-proofness. Also, we perform an experimental study that shows that the proposed sequential procedure yields a considerable saving in time with respect to a non-sequential approach, while the winners satisfy the agents just as well, independently of the variable ordering and of the presence of coalitions of agents. 1
Giorgio Dalla Pozza, Maria Silvia Pini, Francesca Rossi 0001, K. Brent Venable
IJCAI1