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A definitive, authoritative and up-to-date resource for anyone interested in the theories, models and assessment methods used for understanding the many factes of Human personality and individual differences. Volume 1: Personality Theories and Models deals with the major theoretical models underlying personality instruments.

Personality and Information Processing: A Cognitive-Adaptive Theory

Personality and information processing: A cognitive-adaptive theory

Personality traits correlate with a multitude of objective indices of information processing — but what do the correlations mean? This chapter aims to explore the implications of information-processing studies for personality theory. I will argue that the cognitive correlates of the major traits are distributed across many component mechanisms at different levels of abstraction from the brain. The distributed nature of traits raises the question of how the multiple components may support a unitary trait. My answer is that traits derive coherence from the functional commonalities of these component processes, which work to support common adaptive goals. The chapter is structured as follows. I will introduce the theoretical challenges raised by studies of information processing in a historical context. I will outline three principles necessary to meet the challenge: the distributed nature of traits, use of multiple levels of explanation and the key role of adaptation to environmental pressures and affordances. I will present a cognitive science framework for capturing the richness of the multifarious components of traits, illustrated in relation to extraversion (E) and neuroticism (N). This descriptive scheme is the basis for the cognitive-adaptive theory of personality which links traits to the universal adaptive choices that human life mandates. I will finish with comments on how the theory illuminates some central issues in personality theory.

Personality and Information Processing: Accomplishments and Challenges

Personality research woke up to the cognitive revolution rather late in the day. Pioneering psychobiological trait theorists, notably Hans Eysenck, introduced experiments that related traits to performance tasks requiring attention, memory and other cognitive functions. However, psychobiological theory treated cognition as an outcome of more fundamental neurological processes, rather than a causal influence on behavior. Carl Rogers and George Kelly highlighted the defining role of cognition in molding personality, but without computational models, such approaches lacked the rigor to build a systematic account of the major personality traits.

Several developments jump-started cognitive psychological accounts of traits. In psychometrics, researchers began to look beyond the traditional traits to identify dimensions that were defined by primarily cognitive qualities such as locus of control and dispositional focus of attention. In clinical psychology, Beck (1967) introduced the idea of the schema to explain depression, suggesting that personality reflects an organized, stable set of self-beliefs. In time, schema theory would help to explain traits linked to negative affectivity such as anxiety and neuroticism (Wells and Matthews, 1994). Experimental psychology provided new chronometric paradigms for relating traits to information processing. Michael Eysenck (1981), for example, reviewed studies relating extraversion to standard information-processing tasks such as attention, memory, speeded response, motor skills, problem-solving and strategy choice. Critically, such studies freed cognitive investigations from their reliance on self-report data, in favor of objective measures of speed and accuracy in performance. Humphreys and Revelle (1984) developed the first systematic account of how the major traits influenced a range of different tasks, mediated by individual differences in the availability of processing resources for attention and short-term memory.

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