A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
— This paper presents an approach to agent’s action selection strategy called stepwise case-based reasoning (SCBR). In this paper an agent that roams in 3D synthetic world is c...
Abstract. This paper presents an algorithm of adaptation for a case-based reasoning system with cases and domain knowledge represented in the expressive description logic ALC. The ...
This paper describes SiN, a novel case-based planning algorithm that combines conversational case retrieval with generative planning. SiN is provably correct, and can generate pla...
Combining various knowledge types - and reasoning methods - in knowledge-based systems is a challenge to the knowledge representation task. The paper describes an object-oriented,...