Case-based Reasoning Challenge

What is a case?

a prototypical event

a negative example

an individual experience

a positive example

How is a case stored?

How can the similarity of two cases be determined?

with the average distance

with a fuzzy set

with triangulation of cases

with the Euclidean distance

Why can it happen that a case must be adapted?

because a case was destroyed by another user

because a case cannot be applied to an actual problem

because the execution of the case was not successful

because the user has asked for an adaptation

Why does a case-based system requires a domain model?

because the domain of the application must be defined

because a domain model helps to adapt and to repair cases

because the domain is required to define the range of attributes

because the domain model explains the solution to the user

What is a repair of a case?

a repair of the storage of the case

a repair of the structure of a case

a change of the values of attributes

a synchronization between problem and case

Why does a case-based reasoning system applies a weighting function?

to let a user describe which solution is best

to show the relevance of a case

to describe how often a case was reused

to reflect the different importance of attributes

What is the difference between inductive and case-based reasoning?

case based reasoning has no cold start problem

case-based reasoning delivers always a correct solution

case-based reasoning is faster than inductive reasoning

in case-based reasoning no abstraction is required

What kind of learning implements case-based reasoning?

abductive learning

incremental learning

deductive learning

explanation-based learning

What are the advantages of case-based reasoning?

it offers fault tolerance

it offers a better user interface

it allows to show a user different solutions

it integrates learning and problem solving

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