Authors:
            
                    Tarek Besold
                    
                        
                    
                     and
                
                    Stefan Mandl
                    
                        
                    
                    
                
        
        
            Affiliation:
            
                    
                        
                    
                    University of Erlangen-Nuremberg, Germany
                
        
        
        
        
        
             Keyword(s):
            Information integration, Knowledge-based systems, Nonmonotonic reasoning, Knowledge representation.
        
        
            
                Related
                    Ontology
                    Subjects/Areas/Topics:
                
                        Artificial Intelligence
                    ; 
                        Biomedical Engineering
                    ; 
                        Biomedical Signal Processing
                    ; 
                        Computational Intelligence
                    ; 
                        Health Engineering and Technology Applications
                    ; 
                        Human-Computer Interaction
                    ; 
                        Knowledge Representation and Reasoning
                    ; 
                        Methodologies and Methods
                    ; 
                        Model-Based Reasoning
                    ; 
                        Neural Networks
                    ; 
                        Neurocomputing
                    ; 
                        Neurotechnology, Electronics and Informatics
                    ; 
                        Pattern Recognition
                    ; 
                        Physiological Computing Systems
                    ; 
                        Sensor Networks
                    ; 
                        Signal Processing
                    ; 
                        Soft Computing
                    ; 
                        Symbolic Systems
                    ; 
                        Theory and Methods
                    
            
        
        
            
                Abstract: 
                We propose an extension of the heterogeneous multi-context reasoning framework by G. Brewka and T. Eiter, which, in addition to logical contexts of reasoning, also incorporates sub-symbolic contexts of reasoning. The
main findings of the paper are a simple extension of the concept of bridge rules to the sub-symbolic case and the concept of bridge rule models that allows for a straightforward enumeration of all equilibria of multi-context systems. We illustrate our approach with two examples from the fields of text and image classification.