Paul Thagard - Coherence

Coherence

Thagard has proposed that many cognitive functions, including perception, analogy, explanation, decision-making, planning etc., can be understood as a form of (maximum) coherence computation.

Thagard (together with Karsten Verbeurgt) put forth a particular formalization of the concept of coherence as a constraint satisfaction problem. The model posits that coherence operates over a set of representational elements (e.g., propositions, images, etc.) which can either fit together (cohere) or resist fitting together (incohere).

If two elements p and q cohere they are connected by a positive constraint, and if two elements and incohere they are connected by a negative constraint . Furthermore, constraints are weighted, i.e., for each constraint there is a positive weight .

According to Thagard, coherence maximization involves the partitioning of elements into accepted and rejected elements in such a way that maximum number (or maximum weight) of constraints is satisfied. Here a positive constraint is said to be satisfied if either both and are accepted or both and are rejected . A negative constraint is satisfied if one element is accepted(say ), and the other rejected .

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