Classification of retinal vessels using a collaborative agent-based architecture

2018 ◽  
Vol 31 (5) ◽  
pp. 427-444 ◽  
Author(s):  
Pablo Chamoso ◽  
Sara Rodríguez ◽  
Fernando de la Prieta ◽  
Javier Bajo
Keyword(s):  
Retinal Vessels ◽  
Agent Based ◽  
Collaborative Agent

scholarly journals Towards a Validation Methodology for Macroeconomic Agent-Based Models

2021 ◽  
Author(s):  
Sebastiaan Tieleman
Keyword(s):  
Emergent Properties ◽  
Agent Based Models ◽  
Important Distinction ◽  
Agent Based ◽  
Model Classification ◽  
Classification Framework ◽  
The Difference ◽  
To Come

AbstractAgent-based models provide a promising new tool in macroeconomic research. Questions have been raised, however, regarding the validity of such models. A methodology of macroeconomic agent-based model (MABM) validation, that provides a deeper understanding of validation practices, is required. This paper takes steps towards such a methodology by connecting three elements. First, is a foundation of model validation in general. Second is a classification of models dependent on how the model is validated. An important distinction in this classification is the difference between mechanism and target validation. Third, is a framework that revolves around the relationship between the structure of models of complex systems with emergent properties and validation in practice. Important in this framework is to consider MABMs as modelling multiple non-trivial levels. Connecting these three elements provides us with a methodology of the validation of MABMs and allows us to come to the following conclusions regarding MABM validation. First, in MABMs, mechanisms at a lower level are distinct from, but provide input to higher levels of mechanisms. Since mechanisms at different levels are validated in different ways we can come to a specific characterization of MABMs within the model classification framework. Second, because the mechanisms of MABMs are validated in a direct way at the level of the agent, MABMs can be seen as a move towards a more realist approach to modelling compared to DSGE.

scholarly journals Model-based evolution of collaborative agent-based systems

2007 ◽  
Vol 13 (4) ◽  
pp. 17-38 ◽  
Author(s):  
Shawn A. Bohner ◽  
Denis Graĉanin ◽  
Michael G. Hinchey ◽  
Mohamed Eltoweissy
Keyword(s):  
Agent Based ◽  
Model Based ◽  
Collaborative Agent

scholarly journals Information Extraction from Retinal Images with Agent-Based Technology

Processes ◽  
2018 ◽  
Vol 6 (12) ◽  
pp. 254 ◽  
Author(s):  
Pablo Chamoso ◽  
Sara Rodríguez ◽  
Luis García-Ortiz ◽  
Juan Corchado
Keyword(s):  
Retinal Vessel ◽  
Virtual Organizations ◽  
Retinal Vessels ◽  
Fundus Images ◽  
Agent Based ◽  
Medical Software ◽  
Wide Range ◽  
Clinical Tools ◽  
Effective Diagnosis

The study of retinal vessels can provide information on a wide range of illnesses in the human body. Numerous works have already focused on this new field of research and several medical software programs have been proposed to facilitate the close examination of retinal vessels. Some allow for the automatic extraction of information and can be combined with other clinical tools for effective diagnosis and further medical studies. This article proposes an Agent-based Virtual Organizations (VO) System which applies a novel methodology for taking measurements from fundus images and extracting information on the retinal vessel caliber. A case study was conducted to evaluate the performance of the developed system, and the fundus images of different patients were used to extract information. Its performance was compared with that of similar tools.

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