Multi-agent systems exploiting case based reasoning techniques have to deal with the problem of retrieving episodes that are themselves distributed across a set of agents. From a ...
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Abstract. This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem sol...
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
Reinaldo A. C. Bianchi, Raquel Ros, Ramon Ló...
Abstract. For the improvement of software quality and productivity, organizations need to systematically build up and reuse software engineering know-how, promoting organizational ...