A hybrid reasoning system for mobile and intelligent health services

2016 ◽  
Author(s):  
Aniello Minutolo ◽  
Massimo Esposito ◽  
Giuseppe De Pietro
Keyword(s):  
Health Services ◽  
Reasoning System ◽  
Hybrid Reasoning

scholarly journals A hybrid reasoning system for supporting estuary modelling

2005 ◽  
Vol 7 (3) ◽  
pp. 185-198
Author(s):  
Sara Passone ◽  
Vahid Nassehi ◽  
Paul W. H. Chung
Keyword(s):  
Genetic Algorithm ◽  
Physical Phenomenon ◽  
Computing Methods ◽  
Case Based Reasoning ◽  
Illustrative Case ◽  
Detailed Knowledge ◽  
Reasoning System ◽  
Hybrid Reasoning ◽  
Illustrative Case Study ◽  
Case Based

In this paper the development of a Case-Based reasoning system for Estuarine Modelling (CBEM) is presented. The aim of the constructed CBEM system is to facilitate the utilisation of complex modelling software by users who lack detailed knowledge about modelling techniques and require training and assistance to implement sophisticated software effectively. The system is based on modern computing methods and is constructed as a hybrid of three modules which operate conjunctively to guide the user to obtain the best possible simulation for realistic problems. These modules are: a case-based reasoning scheme, a genetic algorithm and a library of numerical estuarine models. Based on the features of a given estuary and the physical phenomenon to be modelled, an appropriate solution algorithm from the system's library is retrieved by the case-based module after a specifically designed reasoning process. The selected model is then analysed and further treated by the genetic algorithm component to find the optimum parameters which can appropriately model the conditions and characteristics of any given estuary. Using these modules the steps that yield the best solution for a problem from the available hydrographic data under a set of specified conditions are explained. This is further elucidated by an illustrative case study which shows the applicability of the present CBEM system under realistic conditions. This case deals with the simulation of salinity distribution in the Tay estuary (Scotland, UK).

Electric Vehicles Online Monitoring System Design Based on the Hybrid Reasoning

2013 ◽  
Vol 278-280 ◽  
pp. 878-883
Author(s):  
Wei Guo Zhang ◽  
Yi Chu ◽  
Ming Yu Zhao ◽  
Fu Bin Hong
Keyword(s):  
Knowledge Base ◽  
Monitoring System ◽  
Electric Vehicles ◽  
Online Monitoring ◽  
Base Layer ◽  
Reasoning System ◽  
Hybrid Reasoning ◽  
Base Management ◽  
Machine Interface ◽  
Online Monitoring System

This paper designs a set of electric vehicles online monitoring system with SOA framework, which includes acquisition layer, network layer, support platform, knowledge base layer and presentation layer, and knowledge layer includes a knowledge base management system, reasoning system and man-machine interface system. Also, this paper constructs a knowledge expert system with hybrid rule-based reasoning method of CBR and RBR, finally, electric automobile remote intelligent fault diagnosis is illustrated with the expert systems.

Dual systems for all: Higher-order, role-based relational reasoning as a uniquely derived feature of human cognition

2019 ◽  
Vol 42 ◽  
Author(s):  
Daniel J. Povinelli ◽  
Gabrielle C. Glorioso ◽  
Shannon L. Kuznar ◽  
Mateja Pavlic
Keyword(s):  
Temporal Reasoning ◽  
Higher Order ◽  
Important Case ◽  
Human Cognition ◽  
Relational Reasoning ◽  
Dual Systems ◽  
First Order ◽  
Reasoning System ◽  
Role Based

Abstract Hoerl and McCormack demonstrate that although animals possess a sophisticated temporal updating system, there is no evidence that they also possess a temporal reasoning system. This important case study is directly related to the broader claim that although animals are manifestly capable of first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role-based relational reasoning. We argue this distinction applies to all domains of cognition.

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