Motivation and Intensionality in a Computer Simulation Model.
STANFORD UNIV CALIF DEPT OF COMPUTER SCIENCE
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This dissertation describes a computer simulation model of paranoia. The model mimics the behavior of a patient participating in a psychiatric interview by answering questions, introducing its own topics, and responding to negatively-valued e. g., threatening or shame-producing situations. The work focuses on the motivational mechanisms required to instigate and direct the modelled behavior. Major components of the model are 1 A production system PS formalism accounting for the instigation and guidance of behavior as a function of internal affective and external real-word environmental factors 2 A model of affects emotions as an anticipation mechanism based on a small number of basic pain-pleasure factors and 3 a formalism for intensional behavior directed by internal models requiring a dual representation of symbol and concept. An intensional object belief can be accessed either by sensing it in the environment concept or by its name token. Similarly, an intensional action intention can be specified either by its conditions in the immediate environment concept or by its name token. Issues of intelligence, psychopathological modelling, and artificial intelligence programming are discussed. The paranoid phenomenon is found to be explainable as an extremely skewed use of normal processes. Applications of these constructs are found to be useful in AI programs dealing with error recovery, incompletely specified input data, and natural language specification of tasks to perform.