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Amílcar Mata Díaz

dblp:28/9812 · DBLP profile ↗
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5ranked-venue papers
5as first author
2since 2021 · last 2023
0000-0003-3458-7383ORCID · corroborated

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

Artificial intelligence and machine learning · 5 · 5 first-author · 2 since 2021Graphics, 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 · 50% Logic in computer science · 25% Distributed computing theory · 25%
Artificial intelligence
2 papers
Knowledge representation and reasoning · 68% Learning theory · 32%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › decision theory
representation theorems
0.312018
Impossibility in Belief Merging (Extended Abstract) · IJCAI 2018
Algorithmic game theory and mechanism design › social choice › preference aggregation
arrow's impossibility theorem
0.312018
Impossibility in Belief Merging (Extended Abstract) · IJCAI 2018
Logic in computer science › belief revision
belief merging
0.312018
Impossibility in Belief Merging (Extended Abstract) · IJCAI 2018
Distributed computing theory
impossibility results
0.312018
Impossibility in Belief Merging (Extended Abstract) · IJCAI 2018
Algorithmic game theory and mechanism design
social choice
0.312018
Impossibility in Belief Merging (Extended Abstract) · IJCAI 2018
Knowledge, reasoning and agents › Knowledge representation and reasoning › belief change
belief merging
0.312017
Impossibility in belief merging · Artif. Intell. 2017
Machine learning › Learning theory › computational learning theory
impossibility result
0.312017
Impossibility in belief merging · Artif. Intell. 2017

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

representation theorem · 0.7propositional logic · 0.7
YearPublicationVenuePosition
2023 On manipulation in merging epistemic states
Amílcar Mata Díaz, Ramón Pino Pérez
Int. J. Approx. Reason.1
2021 Merging Epistemic States and Manipulation
Amílcar Mata Díaz, Ramón Pino Pérez
ECSQARU1
2018 Impossibility in Belief Merging (Extended Abstract)
abstract
With the aim of studying social properties of belief merging and having a better understanding of impossibility, we extend in three ways the framework of logic-based merging introduced by Konieczny and Pino Perez. First, at the level of representation of the information, we pass from belief bases to complex epistemic states. Second, the profiles are represented as functions of finite societies to the set of epistemic states (a sort of vectors) and not as multisets of epistemic states. Third, we extend the set of rational postulates in order to consider the epistemic versions of the classical postulates of social choice theory: standard domain, Pareto property, independence of irrelevant alternatives and absence of dictator. These epistemic versions of social postulates are given, essentially, in terms of the finite propositional logic. We state some representation theorems for these operators. These extensions and representation theorems allow us to establish an epistemic and very general version of Arrow's impossibility theorem. One of the interesting features of our result, is that it holds for different representations of epistemic states; for instance conditionals, ordinal conditional functions and, of course, total preorders.
Amílcar Mata Díaz, Ramón Pino Pérez
IJCAI1
2017 Impossibility in belief merging
Amílcar Mata Díaz, Ramón Pino Pérez
Artif. Intell.1
2011 Logic-Based Fusion of Complex Epistemic States
Amílcar Mata Díaz, Ramón Pino Pérez
ECSQARU1