Title
Modeling the Distributed Control of the Lower Urinary Tract Using a Multiagent System
Abstract
In this article a model of the biological neuronal regulator system of the lower urinary tract is presented. The design and the implementation of the model has been carried out using distributed artificial intelligence, more specifically a system based on agents that carry out tasks of perception, deliberation and execution. The biological regulator is formed by neuronal centres. In the model, each agent is modeled so that its behaviour is similar to that of a neuronal centre. The use of the agent paradigm in the model confers it important properties: adaptability, distributed computing, modularity, synchronous or asynchronous functioning. This strategy also allows a complex systems approach formed by connected elements whose interaction is partially well-known. We have simulated and tested the model comparing results with clinical studies.
Year
DOI
Venue
2004
10.1007/978-3-540-27774-3_11
Lecture Notes in Artificial Intelligence
Keywords
Field
DocType
complex system,urinary tract,distributed computing
Adaptability,Complex system,Asynchronous communication,Regulator,Intelligent agent,Systems theory,Computer science,Artificial intelligence,Modularity
Conference
Volume
ISSN
Citations 
3131
0302-9743
2
PageRank 
References 
Authors
0.47
1
4