Language and the Symptoms of Mental Illness Connection via Abstract Representations of the Self and the World

Abstract

The aim of the present study is to provide additional knowledge about the mediatory processes through which language contributes to the symptoms of mental illness. Although recent studies have provided insight about the relationship between language and the indicators of mental illness, the role of intervening variables in this connection has been ignored. The present investigation tested a structural equation model in which the need for the absolute truth about self and worry mediated the relationship of the gap between inner psychological experience and language with anxiety and depression. The results have provided support for the model and showed that the gap predicts both the need for absolute truth and worry which, in turn, predict the levels of anxiety and depression. The results have been discussed in the light of previous research, and implications for future research have also been considered.     

A BIOSEMIOTIC APPROACH TO THE QUESTION OF MEANING

A sign is something that refers to something else. Signs, whether of natural or cultural origin, act by provoking a receptive system, human or nonhuman, to form an interpretant (a movement or a brain activity) that somehow relates the system to this “something else.” Semiotics sees meaning as connected to the formation of interpretants. In a biosemiotic understanding living systems are basically engaged in semiotic interactions, that is, interpretative processes, and organic evolution exhibits an inherent tendency toward an increase in semiotic freedom. Mammals generally are equipped with more semiotic freedom than are their reptilian ancestor species, and fishes are more semiotically sophisticated than are invertebrates. The evolutionary trend toward the production of life forms with an increasing interpretative capacity or semiotic freedom implies that the production of meaning has become an essential survival parameter in later stages of evolution.     

Relative importance of criteria: a quantitative approach

A mathematical definition for the assertion ‘a group of criteria A is more important than a group of criteria B’ is introduced. It is shown how quantitative information on relative importance of criteria allows us to obtain a more precise upper estimate for a set of all non-dominated solutions than the well-known Pareto set. © 1997 John Wiley & Sons, Ltd.