Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Building on recent research on preference handling in artificial intelligence and related fields, our general goal is to develop a coherent and universally applicable methodological framework for CBR on the basis of formal concepts and methods for knowledge representation and reasoning with preferences. A preference-based approach to CBR appears to be appealing for several reasons, notably because case-based experiences naturally lend themselves to representations in terms of preference relations, even when not dealing with preference information in a literal sense. Moreover, the flexibility and expressiveness of a preference-based formalism ll accommodate the uncertain and approximate nature of case-based problem solving. ,  make a first step toward a preference-based formalization of CBR. Apart from providing a general outline of the framework as a whole,  specifically address the step of case-based inference. The latter consists of inferring preferences for candidate solutions in the context of a new problem, given such preferences in similar situations. Our case-based approach to predicting preference models is concretely realized for a scenario in which solutions are represented in the form of subsets of a reference set. First experimental results are presented to demonstrate the effectiveness of this approach.
['Eyke Hüllermeier', 'Patrice Schlegel']
I am writing a research paper on a idea Preference-Based CBR: first steps toward a methodological framework
[{"from": "human", "value": "I am writing a research paper on a idea Preference-Based CBR: first steps toward a methodological framework"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Building on recent research on preference handling in artificial intelligence and related fields, our general goal is to develop a coherent and universally applicable methodological framework for CBR on the basis of formal concepts and methods for knowledge representation and reasoning with preferences. A preference-based approach to CBR appears to be appealing for several reasons, notably because case-based experiences naturally lend themselves to representations in terms of preference relations, even when not dealing with preference information in a literal sense. Moreover, the flexibility and expressiveness of a preference-based formalism ll accommodate the uncertain and approximate nature of case-based problem solving. ,  make a first step toward a preference-based formalization of CBR. Apart from providing a general outline of the framework as a whole,  specifically address the step of case-based inference. The latter consists of inferring preferences for candidate solutions in the context of a new problem, given such preferences in similar situations. Our case-based approach to predicting preference models is concretely realized for a scenario in which solutions are represented in the form of subsets of a reference set. First experimental results are presented to demonstrate the effectiveness of this approach."}]