Conservative adaptation consists in a minimal change on a source case to be consistent with the target case, given the domain knowledge. It has been formalised in a previous work t...
Case-Based Planning (CBP) is an effective technique for solving planning problems that has the potential to reduce the computational complexity of the generative planning approache...
Abstract. This paper describes a web-based CBR application competing at the first Computer Cooking Contest at the ECCBR 2008. It describes the technical realisation of our system, ...
Alexandre Hanft, Norman Ihle, Kerstin Bach, R&eacu...
In this paper we propose an approach to address the old problem of identifying the feature conditions under which a gaming strategy can be effective. For doing this, we will build ...
Chad Hogg, Stephen Lee-Urban, Bryan Auslander, H&e...
After fifteen years of CBR conferences, this paper sets out to examine the themes that have evolved in CBR research as revealed by the implicit and explicit relationships between t...
Derek Greene, Jill Freyne, Barry Smyth, Padraig Cu...
To meet time constraints, a CBR system must control the time spent searching in the case base for a solution. In this paper, we presents the results of a case study comparing the p...
ers in brackets denote the page numbers of the abstracts. If several authors are present then the one presenting is marked by an asterisk. Invited speakers Invited speakers Silbers...
Abstract. Credible case-based inference (CCBI) is a new and theoretically sound inferencing mechanism for case-based systems. In this paper, we formally investigate the level of pr...
Abstract. The Web is a vibrant environment for innovation in computer science, AI, and social interaction; these innovations come in such great number and speed that it is unlikely...
Abstract. Being able to predict the performance of a Case-Based Reasoning(CBR) system against a set of future problems would provide invaluable information for design and maintenan...