Integrating case- and rule-based reasoning

DANIEL: Integrating Case-Based and Rule-Based Reasoning in Law

Motivation This paper introduces DANIEL,1 an architecture for the integration of case-based reasoning and rule-based reasoning for legal interpretation. Rather than interleaving the reasoners and assuming their complementarity, like in previous approaches, they are applied concurrently. Conflicting interpretations are handled explicitly, based on domain knowledge and on the notion of redundancy...

"integrating Case Based and Rule Based Reasoning: the Possibilistic

Rule based reasoning (RBR) and case based reasoning (CBR) have emerged as two important and complementary reasoning methodologies in artificial intelligence (AI). For problem solving in complex, real world situations, it is useful to integrate RBR and CBR. This paper presents an approach to achieve a compact and seamless integration of RBR and CBR within the base architecture of rules. The pape...

Integrating case-based and rule based reasoning: the possibilistic connection

Rule based reasoning (RBR) and case based reasoning (CBR) have emerged as two impor­ tant and complementary reasoning methodolo­ gies in artificial intelligence (AI). For problem solving in complex, real world situations, it is useful to integrate RBR and CBR. This paper presents an approach to achieve a compact and seamless integration of RBR and CBR within the base architecture of rules. The ...

Integrating Hybrid Rule-Based with Case-Based Reasoning

In this paper, we present an approach integrating neurule-based and case-based reasoning. Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist representation (adaline unit). Each neurule is represented as an adaline unit. One way that the neurules can be produced is from symbolic rules by merging the symbolic rules having the same conclusion. In thi...

Robust Reasoning: Integrating Rule-Based and Similarity-Based Reasoning