We present the architecture of Houdini-2.0, a reasoning system that computes the extension of a defeasible deontic theory given as We present the architecture of Houdini-2.0, a reasoning system that computes the extension of a defeasible deontic theory given as non-monotonic, and it allows us to determine which prescriptive behaviours are in force (obligations, permissions, prohibitions) input, the process of computing the consequences of the rules expressed in the theory itself. The decision process is a sceptical, input, the process of computing the consequences of the rules expressed in the theory itself. The decision process is a sceptical, along with propositional ones. The system is based on pre-existing algorithmic solutions, and it is implemented as an online platform non-monotonic, and it allows us to determine which prescriptive behaviours are in force (obligations, permissions, prohibitions) non-monotonic, and it allows us to determine which prescriptive behaviours are in force (obligations, permissions, prohibitions) to deploy the results of a computation in several use cases, including those that pertain legal domain. along with propositional ones. The system is based on pre-existing algorithmic solutions, and it is implemented as an online platform along with propositional ones. The system is based on pre-existing algorithmic solutions, and it is implemented as an online platform to deploy the results of a computation in several use cases, including those that pertain legal domain.
The architecture of a reasoning system for Defeasible Deontic Logic
	
	
	
		
		
		
		
		
	
	
	
	
	
	
	
	
		
		
		
		
		
			
			
			
		
		
		
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
		
		
		
	
Cristani, Matteo
						
						
						
							Membro del Collaboration Group
;Governatori, GuidoMembro del Collaboration Group
;Olivieri, FrancescoMembro del Collaboration Group
;Pasetto, LucaMembro del Collaboration Group
;Tubini, FrancescoMembro del Collaboration Group
;Veronese, CelesteMembro del Collaboration Group
;Villa, AlessandroMembro del Collaboration Group
;Zorzi, EdoardoMembro del Collaboration Group
			2023-01-01
Abstract
We present the architecture of Houdini-2.0, a reasoning system that computes the extension of a defeasible deontic theory given as We present the architecture of Houdini-2.0, a reasoning system that computes the extension of a defeasible deontic theory given as non-monotonic, and it allows us to determine which prescriptive behaviours are in force (obligations, permissions, prohibitions) input, the process of computing the consequences of the rules expressed in the theory itself. The decision process is a sceptical, input, the process of computing the consequences of the rules expressed in the theory itself. The decision process is a sceptical, along with propositional ones. The system is based on pre-existing algorithmic solutions, and it is implemented as an online platform non-monotonic, and it allows us to determine which prescriptive behaviours are in force (obligations, permissions, prohibitions) non-monotonic, and it allows us to determine which prescriptive behaviours are in force (obligations, permissions, prohibitions) to deploy the results of a computation in several use cases, including those that pertain legal domain. along with propositional ones. The system is based on pre-existing algorithmic solutions, and it is implemented as an online platform along with propositional ones. The system is based on pre-existing algorithmic solutions, and it is implemented as an online platform to deploy the results of a computation in several use cases, including those that pertain legal domain.| File | Dimensione | Formato | |
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