In this paper, we argue that syntactic analysis is most likely to improve retrieval accuracy in textual case-based reasoning when the task of the system is well-defined and the re...
Abstract. This paper summarises our work in textual Case-Based Reasoning within jCOLIBRI. We use Information Extraction techniques to annotate web pages to facilitate semantic retr...
This paper explores a method to algorithmically distinguish case-specific facts from potentially reusable or adaptable elements of cases in a textual case-based reasoning (TCBR) sy...
Non-learning problem solvers have been applied to many interesting and complex domains. Experience-based learning techniques have been developed to augment the capabilities of cert...
We use case-injected genetic algorithms for learning how to competently play computer strategy games. Case-injected genetic algorithms combine genetic algorithm search with a case-...
Abstract. We present a form of case-based reuse conducive to the cooperation of multiple CBR agents in problem solving. First, we present a form of constructive adaptation for con...
The rapid growth of data stored in molecular biology-related databases has stimulated the development of integrative tools for retrieval and presentation of the data in the form of...
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
TIELT is a software testbed that facilitates the integration and testing of learning-embedded decision systems on user-selected tasks from virtual gaming simulators. A key componen...