kmbasisneighbourhood

<code>kmbasisneighbourhood</code> computes the neighbourhood of a state
within a knowledge structure, i.e. the family of all other
states with a symmetric set difference of 1.

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

kmbasisneighbourhood function

<dl><dt>state</dt>
<dd>Binary vector representing a knowledge state</dd>
<dt>basis</dt>
<dd><code>kmbasis</code> object</dd>
<dt>include</dt>
<dd>Boolean whether the original state should be included
in the result (default FALSE)</dd></dl>

Arguments

Compute the neighbourhod of a state within a knowledge structure using its basis — kmbasisneighbourhood

<dl>

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


<dt>basis</dt>
<dd><code>kmbasis</code> object</dd>


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

</dl>

kmbasisneighbourhood: Compute the neighbourhod of a state within a knowledge structure using its basis

Description

Usage

Value

Arguments

See Also

Examples