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Article
Complex concept lattices for simulating human prediction in sport
(Springer, 2013)
In order to address the study of complex systems, the detection of patterns in their dynamics could play a key role in understanding their evolution. In particular, global patterns are required to detect emergent concepts ...
Presentation
Scale-Free Structure in Concept Lattices Associated to Complex Systems
(IEEE Computer Society, 2012)
Qualitative representation and reasoning on Complex Systems (CS) is important for a number of human activities on CS, mainly for the understanding of both, our perception about their structure as well as their ...
Article
Agent-mediated shared conceptualizations in tagging services
(Springer, 2013)
Some of the most remarkable innovative technologies from the Web 2.0 are the collaborative tagging systems. They allow the use of folksonomies as a useful structure for a number of tasks in the social web, such as ...
Presentation
Learning Services Based on Formal Concept Reasoning
(IADIS: International Association for Development of the Information Society, 2007)
A formal foundation of automated service discovering for Semantic Web is proposed. The approach is based on the formalization of the problem using an agent oriented programming language (ConGolog), as well as on the use ...
Presentation
Conceptual-based reasoning in mobile web 2.0 by means multiagent systems - knowledge engineering notes
(ScitePress Digital Library, 2012)
Increasingly, users connect to the Internet by mobile devices and they are generating massive content through them. The lead-off projects in Mobile Web 2.0 offer the opportunity to add semantics in order to obtain structured ...
Article
On the Phenomenological Reconstruction of Complex Systems—The Scale-Free Conceptualization Hypothesis
(Wiley, 2013)
Phenomenological reconstruction of a complex system (CS) from collected and selected data allows us to work with formal models (representations) of the system. The task of building a qualitative model necessitates the ...
Presentation
Synthetizing Qualitative (Logical) Patterns for Pedestrian Simulation from Data
(Springer, 2016)
This work introduces a (qualitative) data-driven framework to extract patterns of pedestrian behaviour and synthesize Agent-Based Models. The idea consists in obtaining a rule-based model of pedestrian behaviour by means ...