This paper describes a new architecture for reasoning that combines case-based and model-based reasoning, referred to as knowledge intensive CBR (KiCBR). The case retrieval process is explained and compared through different reasoning approaches; plain CBR, and two forms of knowledgeintensive CBR. The mentioned methods are applied to problems in oil well drilling, a challenging domain. Knowledg...

Several techniques have been used to generate weather forecast texts. In this paper, case based reasoning (CBR) is proposed for weather forecast text generation because similar weather conditions occur over time and should have similar forecast texts. CBR-METEO, a system for generating weather forecast texts was developed using a generic framework (jCOLIBRI) which provides modules for the stand...

The Indiana University Case-Based Reasoning Framework (IUCBRF) is a freely available open-source framework, written in Java, to facilitate the development of case-based reasoning (CBR) systems. IUCBRF provides code to handle many of the general, domain-independent aspects of CBR systems, freeing developers to consider only the domain-dependent aspects of the system. The framework is designed to...

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...

In wireless sensor network, high packet loss occurs due to the mobile sensor nodes. Energy consumption is also one of the main challenges in mobile sensor nodes. To overcome these problems, a new algorithm is proposed named as Improved Cluster Based Routing Protocol. This routing protocol follows the routing process similar to CBR-Mobile WSN. In addition, it reduces unnecessary broadcast and co...

We present a proactive communication approach that allows CBR agents to gauge the strengths and weaknesses of other CBR agents. The communication protocol allows CBR agents to learn from communicating with other CBR agents in such a way that each agent is able to retain certain cases provided by other agents that are able to improve their individual performance (without need to disclose all the...

Although Case-Based Reasoning (CBR) claims to reduce the effort required for developing knowledge-based systems substantially compared with more traditional Artificial Intelligence approaches, the implementation of a CBR application from scratch is still a time consuming task. In this paper we present a novel, freely available tool for rapid prototyping of CBR applications that focuses on the s...

Building a methodology for developing CBR applications is an important goal currently addressed by CBR researchers and practitioners. Since CBR application development is a special kind of software development, building a CBR methodology can certainly be viewed as a software engineering research and development activity. This paper presents a perspective of how software process modelling, which...