From Case-based Reasoning to Problem-based Learning

From case-based reasoning to problem-based learning.

Many medical schools today are questioning whether they should implement a problem-based learning (PBL) curriculum. Educators have raised serious questions regarding the efficiency of PBL and therefore recommend learning more about the cognitive processes developed by PBL before implementing it broadly. In addition, it is important to determine whether PBL best matches the human reasoning proce...

Systematizing Scaffolding for Problem-Based Learning: A View from Case-Based Reasoning

Introduction to Machine Learning & Case-Based Reasoning

Prologue These notes refer to the course of Machine Learning (course 395), Computing Department, Imperial College London. The goal of this syllabus is to summarize the basics of machine learning and to provide a detailed explanation of case-based reasoning. This chapter introduces the term " machine learning " and defines what do we mean while using this term. This is a very short summary of th...

From case-based reasoning to traces-based reasoning

CBR is an original AI paradigm based on the adaptation of solutions of past problems in order to solve new similar problems. Hence, a case is a problem with its solution and cases are stored in a case library. The reasoning process follows a cycle that facilitates ‘‘learning’’ from new solved cases. This approach can be also viewed as a lazy learning method when applied for task classification....

Improving Agent Performance for Multi-Resource Negotiation Using Learning Automata and Case-Based Reasoning

In electronic commerce markets, agents often should acquire multiple resources to fulfil a high-level task. In order to attain such resources they need to compete with each other. In multi-agent environments, in which competition is involved, negotiation would be an interaction between agents in order to reach an agreement on resource allocation and to be coordinated with each other. In recent ...