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

Gonçalo Duarte Garcia Pereira

dblp:162/5072 · DBLP profile ↗
← Back
4ranked-venue papers
4as first author
0since 2021 · last 2016
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 3 · 3 first-authorArtificial intelligence and machine learning · 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
1 paper
Multi-agent systems · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems
agent architecture
0.212016
Integrating social power into the decision-making of cognitive agents · Artif. Intell. 2016
Knowledge, reasoning and agents › Multi-agent systems › agent architecture
cognitive agent architecture
0.212016
Integrating social power into the decision-making of cognitive agents · Artif. Intell. 2016
Knowledge, reasoning and agents › Multi-agent systems › human-agent interaction
social agents
0.212016
Integrating social power into the decision-making of cognitive agents · Artif. Intell. 2016
Collaborative and social computing › social interaction
virtual human interaction
0.112016
Integrating social power into the decision-making of cognitive agents · Artif. Intell. 2016

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

user study · 0.5
YearPublicationVenuePosition
2016 Integrating social power into the decision-making of cognitive agents
abstract
Social power is a pervasive feature with acknowledged impact in a multitude of social processes. However, despite its importance, common approaches to social power interactions in multi-agent systems are rather simplistic and lack a full comprehensive view of the processes involved. In this work, we integrated a comprehensive model of social power dynamics into a cognitive agent architecture based on an operationalization of different bases of social power inspired by theoretical background research in social psychology. The model was implemented in an agent framework that was subsequently used to generate the behavior of virtual characters in an interactive virtual environment. We performed a user study to assess users' perceptions of the agents and found evidence supporting both the social power capabilities provided by the model and their value for the creation of believable and interesting scenarios. We expect that these advances and the collected evidence can be used to support the development of agent systems with an enriched capacity for social agent simulation.
Gonçalo Duarte Garcia Pereira, Rui Prada, Pedro Santos 0001
Artif. Intell.1
2013 Conceptualizing Social Power for Agents
Gonçalo Duarte Garcia Pereira, Rui Prada, Pedro Santos 0001
IVA1
2011 A Generic Emotional Contagion Computational Model
Gonçalo Duarte Garcia Pereira, Joana Dimas, Rui Prada, Pedro Santos 0001, Ana Paiva 0001
ACII (1)1
2011 A Game Prototype with Emotional Contagion
Gonçalo Duarte Garcia Pereira, Joana Dimas, Rui Prada, Pedro Santos 0001, Ana Paiva 0001
ACII (2)1