A CBR system needs a good case retention strategy to decide which cases to incorporate into the case base in order to maximize the performance of the system. In this work we present a collaborative case retention strategy, designed for multiagent CBR systems, called the Collaborative Case Bargaining strategy. The CCB strategy is a bargaining mechanism in which each CBR agent tries to maximize the utility of the cases it retains. We will present a case utility measure called the Justification-based Case Utility (JCU) based upon the ability of the individual CBR agents to provide justifications of their own results. An empirical evaluation of the CCB strategy shows the benefits for CBR agents to use this strategy: individual and collective ac...
This paper presents an investigation into applying Case-Based Reasoning to Multiple Heterogeneous Ca...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
Since last years Case Base Reasoning (CBR) field has been growing, and Case Base Maintenance (CBM) i...
Empirical experiments have shown that storing every case does not automatically improve the accurac...
We present a proactive communication approach that allows CBR agents to gauge the strengths and weak...
Multiagent systems offer a new paradigm to organize AI Ap-plications. We focus on the application of...
In this paper we present a novel approach for combining Case-Based Reasoning (CBR) and Argumentation...
The utility problem occurs when the cost associated with searching for relevant knowledge outweighs ...
Case-Based Reasoning (CBR) is a Machine Learning technique that models human reasoning. As it learns...
Case-Based Reasoning is a methodology that uses information that has been considered as valid in pre...
Case-based reasoning (CBR) models the process of reason-ing from specific experiences acquired by an...
Case-based reasoning (CBR) infers a solution to a new problem by searching a collection of previousl...
Distribution of resources within case-based reasoning (CBR) architectures is beneficial in a variety...
This paper gives a survey about existing case-based reasoning systems and what can be learned from t...
Case-Based Reasoning (CBR) has long been considered as an AI technology with low maintenance efforts...
This paper presents an investigation into applying Case-Based Reasoning to Multiple Heterogeneous Ca...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
Since last years Case Base Reasoning (CBR) field has been growing, and Case Base Maintenance (CBM) i...
Empirical experiments have shown that storing every case does not automatically improve the accurac...
We present a proactive communication approach that allows CBR agents to gauge the strengths and weak...
Multiagent systems offer a new paradigm to organize AI Ap-plications. We focus on the application of...
In this paper we present a novel approach for combining Case-Based Reasoning (CBR) and Argumentation...
The utility problem occurs when the cost associated with searching for relevant knowledge outweighs ...
Case-Based Reasoning (CBR) is a Machine Learning technique that models human reasoning. As it learns...
Case-Based Reasoning is a methodology that uses information that has been considered as valid in pre...
Case-based reasoning (CBR) models the process of reason-ing from specific experiences acquired by an...
Case-based reasoning (CBR) infers a solution to a new problem by searching a collection of previousl...
Distribution of resources within case-based reasoning (CBR) architectures is beneficial in a variety...
This paper gives a survey about existing case-based reasoning systems and what can be learned from t...
Case-Based Reasoning (CBR) has long been considered as an AI technology with low maintenance efforts...
This paper presents an investigation into applying Case-Based Reasoning to Multiple Heterogeneous Ca...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
Since last years Case Base Reasoning (CBR) field has been growing, and Case Base Maintenance (CBM) i...