Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Ontology mapping: the state of the art
The Knowledge Engineering Review
Bayesowl: a probabilistic framework for uncertainty in semantic web
Bayesowl: a probabilistic framework for uncertainty in semantic web
Intelligent human interface based on mental cloning-based software
Knowledge-Based Systems
Facial Expression Invariants for Estimating Mental States of Person
Proceedings of the 2009 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the Eighth SoMeT_09
A Study of How to Implement a Listener Estimate Emotion in Speech
Proceedings of the 2009 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the Eighth SoMeT_09
Virtual doctor system (VDS): medical decision reasoning based on physical and mental ontologies
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
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Human computer Interaction based on emotional modelling and physical views, collectively; has been investigated and reported in this paper. Two types of ontology have been presented to formalize a patient state: mental ontology reflecting the patient mental behavior due to certain disorder and physical ontology reflecting the observed physical behavior exhibited through disorder. These two types of ontology have been mapped and aligned for reasoning using a simple Bayesian Network for causal reasoning to define what we call as simple case diagnosis. We have constructed an integrated computerized model which reflects a human diagnostician as computer model and through it; an integrated interaction between that model and the real human user (patient) is utilized for 1st stage diagnosis purposes.