Case-based Reasoning Challenge

What is a case?

a positive example

an individual experience

a prototypical event

a negative example

How is a case stored?

How can the similarity of two cases be determined?

with triangulation of cases

with the Euclidean distance

with a fuzzy set

with the average distance

Why can it happen that a case must be adapted?

because a case cannot be applied to an actual problem

because the user has asked for an adaptation

because a case was destroyed by another user

because the execution of the case was not successful

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

because the domain model explains the solution to the user

because a domain model helps to adapt and to repair cases

because the domain of the application must be defined

because the domain is required to define the range of attributes

What is a repair of a case?

a repair of the structure of a case

a synchronization between problem and case

a repair of the storage of the case

a change of the values of attributes

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

to describe how often a case was reused

to reflect the different importance of attributes

to show the relevance of a case

to let a user describe which solution is best

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

case-based reasoning delivers always a correct solution

case-based reasoning is faster than inductive reasoning

in case-based reasoning no abstraction is required

case based reasoning has no cold start problem

What kind of learning implements case-based reasoning?

deductive learning

incremental learning

explanation-based learning

abductive learning

What are the advantages of case-based reasoning?

it integrates learning and problem solving

it offers fault tolerance

it offers a better user interface

it allows to show a user different solutions

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