Edmonds, B. (2012) Modelling Belief Change in a Population Using Explanatory Coherence, Advances in Complex Systems, 15(6). (10.1142/S0219525912500853)
The Link to the WorldSci page is: http://www.worldscientific.com/doi/abs/10.1142/S0219525912500853
BRUCE EDMONDS,
Advs. Complex Syst.,
15, 1250085 (2012) [15 pages]
DOI: 10.1142/S0219525912500853
MODELING BELIEF CHANGE IN A POPULATION USING EXPLANATORY COHERENCE
Abstract
A
simulation model that represents belief change within a population of
agents who are connected by a social network is presented based on
Thagard's theory of explanatory coherence. In this model there are a
fixed number of represented beliefs, each of which are either held or
not by each agent. These are conceived of existing against a background
of a large set of (unrepresented) shared beliefs. These beliefs are to
different extents coherent with each other — this is modeled using a
coherence function from possible sets of core beliefs to [-1, 1]. The
social influence is achieved through gaining of a belief across a social
link. Beliefs can be lost by being dropped from an agent's store. Both
of these processes happen with a probability related to the change in
coherence that would result in an agent's belief store. A resulting
measured "opinion" can be retrieved in a number of ways, here as a
weighted sum of a pattern of the core beliefs — opinion is thus an
outcome and not directly processed by agents. This model suggests
hypotheses about group opinion dynamics that differ from that of many
established models.
Keywords: Simulation; coherence; consistency; opinion dynamics; belief revision
(Earlier version at: http://cfpm.org/cpmrep185.html)
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