@misc{cogprints1081, title = {A Coherence Optimization Model of Suicide}, author = {Vasile Cernat}, year = {2000}, keywords = {suicidal thoughts, suicide rates, coherence optimization, constraint satisfaction, neural network}, url = {http://cogprints.org/1081/}, abstract = {This article describes a model that approaches both individual and social dimensions of suicide. At the individual level, the model construes suicidal thoughts as optimization of coherence between relevant cognitive unit sets (i.e. collections of interrelated cognitive units that focus on a particular external or internal object). It assumes that suicidal thoughts are mostly affected by the manner individuals construe their egos, their economic, relational, professional, and health situations, as well as life, death, and suicide. At the social level, the model argues that suicide rates depend on the distributions of these cognitive unit sets and of the connections between them. The model has been implemented in a computer program that simulates important characteristics of suicide rates.} }