C
Cesar Analide
Researcher at University of Minho
Publications - 91
Citations - 643
Cesar Analide is an academic researcher from University of Minho. The author has contributed to research in topics: Ambient intelligence & Context (language use). The author has an hindex of 11, co-authored 91 publications receiving 587 citations.
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BookDOI
Establishing the Foundation of Collaborative Networks
TL;DR: Developments emphasize the urgency for establishing a sounder foundation for collaborative networks in terms of theoretical principles and formal models, capturing the concepts, entities, behaviors, and operations of the CNs, and developing technology-independent infrastructure architecture, tools and methodologies.
Proceedings ArticleDOI
The halt condition in genetic programming
TL;DR: In this paper, the authors address the role of divergence and convergence in creative processes and argue about the need to consider them in Computational Creativity research in the Genetic or Evolutionary Programming paradigm, being one's goal the problem of the Halt Condition in Genetic Programming.
Book ChapterDOI
Quality of Knowledge in Virtual Entities
TL;DR: This work presented an alternative way to evaluate the qualitative knowledge of virtual entities, such as computational agents, living in virtual worlds and that are able to represent legal organizations or personalities, in terms of an extension to a logic programming language allowing the representation of imperfect knowledge.
Journal ArticleDOI
Tracking Context-Aware Well-Being through Intelligent Environments
Fábio Silva,Cesar Analide +1 more
TL;DR: The link between user living conditions and sparse events such as illness, indispositions can be tracked to well-being data through autonomous services and this application is detailed in the approach categorized by this article.
Journal ArticleDOI
Evolutionary intelligence in asphalt pavement modeling and quality-of-information
José Neves,Jorge Ribeiro,Paulo A. A. Pereira,Victor Alves,José Machado,António Abelha,Paulo Novais,Cesar Analide,Manuel Filipe Santos,Manuel Fernández-Delgado +9 more
TL;DR: This paper presents a dynamic and formal model oriented to fulfill the task of making predictions for multi-failure criteria, in particular in scenarios with incomplete information; it is an intelligence tool that advances according to the quality-of-information of the extensions of the predicates that model the universe of discourse.