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Arnaldo Moura

dblp:93/1291 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

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

Databases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1Theory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

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
Automata and formal languages · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automata and formal languages
context-free languages
0.011982
A Generalization of Ogden's Lemma · J. ACM 1982
Automata and formal languages › regular languages
pumping lemma
0.011982
A Generalization of Ogden's Lemma · J. ACM 1982

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

iteration lemma · 0.0counterexample construction · 0.0
YearPublicationVenuePosition
2012 A Video Game Level Analysis Model Proposal
abstract
This paper presents a preliminary model proposal for the analysis of video game level scenarios consisting of four elements: video game, players, metrics, and gaming experience. The selection of parameters from each of these elements defines a specific video game level analysis context. Initial validation of the model is being carried out with a First-person shooter video game and selected metrics (including eye movement behavior) to understand player behavior (both interactive and visual) within a game level. An additional analysis technique based on visual representation techniques applied in this validation context is also described. After validated, this model may be applied in the analysis of player behavior in game levels, in several different situations predicted in the model itself. Information acquired from the application of this model may posteriorly be used in the design (or redesign) of game levels and scenarios driven for optimal use which should generate a greater gaming experience.
Samuel Almeida, Ana Isabel Veloso, Óscar Mealha, Licínio Roque, Arnaldo Moura
IV5
1982 A Generalization of Ogden's Lemma
abstract
Excluded positions" are incorporated into a modified form of Ogden's lemma, and a language satisfying the latter, which the authors' generalized lemma can show fails to be context-free, is presented.It is also shown that in a fairly general sense there ts no function relating the number of distinguished and excluded posnions which would allow the authors' Iteration lemma to characterize the context-free languages.Categones and SubJect Descriptors' F 4.2
Christopher Bader, Arnaldo Moura
J. ACM2
1980 A Note on Grammatical Covers
Arnaldo Moura
Inf. Process. Lett.1