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Presentation
ASAP: A Framework for Designing Gamified Models of Complex Systems
(IEEE Computer Society, 2016)
This paper introduces ASAP, a framework for the development of mobile gamification of problems where Complex Systems play a fundamental role. This framework allows adding a layer of gamification concepts over a set of ...
Presentation
Pedestrian Behavior Mining from Data
(University of York, UK, 2015)
A general -observation-based- qualitative framework to extract agent-based pedestrian behavior is presented. To extract qualitative rules from data we use tools, from Formal Concept Analysis, for implicational reasoning.
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 ...
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