kmnneighbourhood

<code>kmnneighbourhood</code> computes the n-neighbourhood of a state
within a knowledge structure, i.e. the family of all other
states with a symmetric set difference maximal n.

Knowledge space theory by Doignon and Falmagne (1999)
<doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical
framework, which proposes mathematical formalisms to operationalize
knowledge structures in a particular domain. The 'kstMatrix' package
provides basic functionalities to generate, handle, and manipulate
knowledge structures and knowledge spaces. Opposed to the 'kst'
package, 'kstMatrix' uses matrix representations for knowledge
structures. Furthermore, 'kstMatrix' contains several knowledge spaces
developed by the research group around Cornelia Dowling through
querying experts.

Cord Hockemeyer

kstMatrix

Basic Functions in Knowledge Space Theory Using Matrix
Representation

Peter Steiner

Wai Wong

kmnneighbourhood function

<dl><dt>state</dt>
<dd>Binary vector representing a knowledge state</dd>
<dt>struct</dt>
<dd>Binary matrix representing a knowledge structure</dd>
<dt>distance</dt>
<dd>Size of the n-neighbourhood</dd>
<dt>include</dt>
<dd>Boolean whether the original state should be included
(defaul FALSE)</dd></dl>

Arguments

Compute the n-neighbourhod of a state within a knowledge structure — kmnneighbourhood

<dl>

<dt>state</dt>
<dd>Binary vector representing a knowledge state</dd>


<dt>struct</dt>
<dd>Binary matrix representing a knowledge structure</dd>


<dt>distance</dt>
<dd>Size of the n-neighbourhood</dd>


<dt>include</dt>
<dd>Boolean whether the original state should be included
(defaul FALSE)</dd>

</dl>

kmnneighbourhood: Compute the n-neighbourhod of a state within a knowledge structure

Description

Usage

Value

Arguments

See Also

Examples