scispace - formally typeset
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.

Papers
More filters
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

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

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.