Explanation in Case-Based Reasoning---Perspectives and Goals
We present an overview of different theories of explanation from the philosophy and cognitive science communities. Based on these theories, as well as models of explanation from the knowledge-based systems area, we present a framework for explanation in ...
The Explanatory Power of Symbolic Similarity in Case-Based Reasoning
A desired capability of automatic problem solvers is that they can explain the results. Such explanations should justify that the solution proposed by the problem solver arises from the known domain knowledge. In this paper we discuss how explanations ...
A Case-Based Explanation System for Black-Box Systems
Most users of machine-learning products are reluctant to use them without any sense of the underlying logic that has led to the system's predictions. Unfortunately many of these systems lack any transparency in the way they operate and are deemed to be ...
Explanation in Recommender Systems
There is increasing awareness in recommender systems research of the need to make the recommendation process more transparent to users. Following a brief review of existing approaches to explanation in recommender systems, we focus in this paper on a ...
Explaining Compound Critiques
When it comes to buying expensive goods people expect to be skillfully steered through the options by well-informed sales assistants who are capable of balancing the user's many and varied requirements. In addition users often need to be educated about ...