New approaches to understanding unconscious processes: Implicit and explicit memory systems

Abstract

Freud viewed the unconscious as being roughly equivalent to dynamically repressed wishes, needs, and motivations. Findings from developmental psychology, cognitive psychology, psychoanalysis, and neuroscience over the past 40 years have dramatically changed our views of unconscious processes and the human mind. It is now clear that Freud's dynamic unconscious is only a minor segment of information that is processed at subsymbolic, implicit, and automatic levels. Only a fraction of this information is further processed at explicit conscious levels. Moreover, the vast majority of the information that remains nonconscious is adaptive and has major consequences for development. We examine some clinical implications of these views.     

Frameworks for understanding emotions and their development: functionalist and dynamic systems approaches

In recent years, both functionalist and dynamic systems approaches have assumed increasing prominence in the study of emotion and its development, but the similarities and differences between these perspectives remain largely unexplored and open to more systematic examination. In this article, the authors argue that both approaches share a systems view of emotion and regard emotion in relational, process terms. However, each approach adopts a distinct level of analysis and distinct types of explanation for emotion and its development. Whereas the functionalist approach appeals to formal and final causes to explain patterning in emotion at the level of organism-environment relations, the dynamic systems approach appeals to efficient and material causes to explain emotion at the specific content level of behavior in context. Whether these approaches complement or conflict with one another depends on the extent to which the dynamic systems approach admits abstraction into its explanatory framework. A. Fogel's social process theory and M. D. Lewis' approach to emotion self-organization are discussed in this regard.     

Putting the system back into systems change: a framework for understanding and changing organizational and community systems

Systems change has emerged as a dominant frame through which local, state, and national funders and practitioners across a wide array of fields approach their work. In most of these efforts, change agents and scholars strive to shift human services and community systems to create better and more just outcomes and improve the status quo. Despite this, there is a dearth of frameworks that scholars, practitioners, and funders can draw upon to aid them in understanding, designing, and assessing this process from a systemic perspective. This paper provides one framework--grounded in systems thinking and change literatures--for understanding and identifying the fundamental system parts and interdependencies that can help to explain system functioning and leverage systems change. The proposed framework highlights the importance of attending to both the deep and apparent structures within a system as well as the interactions and interdependencies among these system parts. This includes attending to the dominant normative, resource, regulative, and operational characteristics that dictate the behavior and lived experiences of system members. The value of engaging critical stakeholders in problem definition, boundary construction, and systems analysis are also discussed. The implications of this framework for systems change researchers and practitioners are discussed.     

A systems framework for understanding social settings

In this paper, we argue that attempts to change social settings have been hindered by lack of theoretical advances in understanding key aspects of social settings and how they work in a dynamic system. We present a systems framework for understanding youths' social settings. We focus on three aspects of settings that represent intervention targets: social processes (i.e., patterns of transactions between two or more people or groups of people), resources (i.e., human, economic, physical, temporal resources), and organization of resources (i.e., how resources are arranged and allocated). We postulate that these setting aspects are in dynamic transaction with each other, resulting in setting outcomes. Discussion focuses on the implications of our theoretical framework for setting intervention.     

Linear genetics,non-linear epigenetics: Complementary approaches to understanding complex diseases

Recent discoveries and rediscoveries in molecular and cell biology, in population and evolutionary biology, and in disease natural history raise new doubts about the ability of genetic analysis alone to predict multifactorial (polygenic) human diseases and other complex phenotypes. These doubts serve to redirect our attention to epigenetic regulation as a second informational system in parallel with the genome. Epigenetic regulation is now viewed by many biologists as a process that includes mechanisms capable of constraining the genome and providing for new patterns of gene expression. Epigenetic networks, both intra- and inter-cellular, provide a basis for nonlinear and chaotic views of cellular and tissue level differentiation and organization, and thus provide a more dynamic approach to understanding the creation of complex phenotypes, even from isogeneic conditions. The reality of regulatory networks within cells inserted, as it were, between genome and phenome, also helps explain the difficulties now encountered when prediction and diagnosis of complex disease omits epigenetic considerations and depends entirely on gene causality. For a complete reference guide, see reviews by R.C. Strohman cited below.     

Critical factor analysis: An exploratory general model for understanding diverse systems

Critical Factor Analysis (CFA) is presented as an exploratory general model for uniting the sciences and the humanities through identification and use of critical factors common to both. Two primary and eight subordinate critical factors, with corresponding principles, are identified and placed in a model that can be used for prediction, analysis, and design of systems. Use of CFA could conceivably raise system IQ, reduce unnecessary variety, and assist with the general acceptance of systems science.     

Aphasic adults' understanding of complex adverbial sentences

Twelve aphasics with relatively preserved auditory comprehension were tested for their understanding of four adverbial sentence types expressing the temporal order of events. The relative effects of order of mention, adverbial choice, and adverbial clause placement on subjects' comprehension were investigated. Only adverbial choice was significant with aphasics producing more errors of temporal order on after than before sentences. Subjects' error patterns were not similar to those of children acquiring language. The results are discussed with respect to the theory of lexical marking and the regression hypothesis.     

Mathematical modeling of movement between residential placements: A systems analytic approach to understanding systems of care

Although the concept of a system of care for children and adolescents with a severe emotional disturbance has become core to treatment philosophy, very little research has focused on systems of care as systems. This article attempts to contribute to the development of a systems research paradigm in children's mental health as well as to add to the substantive knowledge of utilization of and movement between residential options in a statewide multiagency service delivery system. Information on residential placement gathered at six month intervals over a three year period is used to develop a mathematical model of the system of care. This model can help administrators to predict future needs for residential care, and to project probable outcomes of alternative strategies for meeting the needs of these children and adolescents.     

Assessing complex problem-solving skills with multiple complex systems

In this paper we propose the multiple complex systems (MCS) approach for assessing domain-general complex problem-solving (CPS) skills and its processes knowledge acquisition and knowledge application. After defining the construct and the formal frameworks for describing complex problems, we emphasise some of the measurement issues inherent in assessing CPS skills with single tasks (i.e., fixed item difficulty, low or unknown reliability, and a large impact of random errors). With examples of the MicroDYN test and the MicroFIN test (two instances of the MCS approach), we show how to adequately score problem-solving skills by using multiple tasks. We discuss implications for problem-solving research and the assessment of CPS skills in general.     

Deterministic Chaos and Computational Complexity: the Case of Methodological Complexity Reductions

Some problems rarely discussed in traditional philosophy of science are mentioned: The empirical sciences using mathematico-quantitative theoretical models are frequently confronted with several types of computational problems posing primarily methodological limitations on explanatory and prognostic matters. Such limitations may arise from the appearances of deterministic chaos and (too) high computational complexity in general. In many cases, however, scientists circumvent such limitations by utilizing reductional approximations or complexity reductions for intractable problem formulations, thus constructing new models which are computationally tractable. Such activities are compared with reduction types (more) established in philosophy of science. This revised version was published online in August 2006 with corrections to the Cover Date.     

Complexity as a guide to understanding decision bias: A contribution to the favorite‐longshot bias debate

This paper investigates the origins of a widespread decision bias in betting markets, the favorite‐longshot bias (FLB); in particular, whether it is caused by cognitive errors on the part of bettors or by the pricing policies of bookmakers. The methodology is based on previous literature, which has suggested that: (i) races, as decision tasks for bettors, can be distinguished by their degree of complexity and their attractiveness to those with access to privileged information (insiders), (ii) cognitive errors increase as complexity increases, and (iii) bookmakers set odds in a manner to protect themselves from insiders. The degree of FLB was examined in races of varying complexity and attractiveness to insiders using a dataset of 8545 races drawn from the parallel bookmaker and pari‐mutuel markets operating in the UK in 2004. The results, interpreted in the light of the cognitive error and complexity literature, suggest that neither bettors' nor bookmakers' cognitive errors are the main cause of the bias. Rather, bettors' preferences for risk and the deliberate pricing policies of bookmakers play key roles in influencing the bias in markets where bookmakers and pari‐mutuel operators coexist. Copyright © 2008 John Wiley & Sons, Ltd.     

Law and Force: 20th Century radical legal philosophy,post-modernism and the foundations of law

The foundations of law have been the object ofintense philosophical scrutiny since antiquity.Most importantly, it has been asked whetherthere are really any foundations other thansheer force to be found once more comfortingillusions are abandoned. This paperinvestigates four influential theorists ofradical legal philosophy and postmodern thought(Benjamin, Schmitt, Luhmann, Derrida) who dealwith this problem in comparable ways despitetheir different theoretical outlooks. Themerits of these theories having been assessed,mentalism in ethics and law is introduced as apossible alternative to both the widespreadfoundationalism of the past and theanti-foundationalism of the postmodern present.     

Pleasure and Complexity: Berlyne Revisited

D. E. Berlyne (1960, 1974) posited an increasing linear function for complexity with an inverted U-shaped function for pleasure. Berlyne's theory of aesthetic response was tested through the presentation of 6 color reproductions of paintings to 92 participants and the gauging of their responses. When participants' pleasure was compared with interest, that hypothesis was upheld. However, when complexity was compared with pleasure, Berlyne's theory was not supported.     

Discovery in complex adaptive systems

The distinction between ontological ground-truth phenomena and epistemic measurements of those phenomena is discussed and analyzed in the context of complex cognitive systems research. A common style of computational simulation is identified as a Dissect-the-Simulation motif. In this style, a model of cognition is designed and when it generally mimics some cognitive behavior, its own ontic processes (which are fully accessible because it is a simulation) are proposed as potential ontic processes inside actual human cognition. I propose here a second style of modeling, which might be called Measure-the-Simulation. In this style, simulated versions of coarse-grained epistemic measurements are performed on the model with the intent of discovering how those epistemic measurements themselves may transform the actual ontic data, and thus induce a variety of mis-categorizations of phenomena. When our epistemic measurements are better understood, such mis-categorizations can perhaps be avoided. As a proof of concept, Conway’s Game of Life is analyzed and measured with two different types of coarse-grained epistemic measures. Dramatic differences are identified in how a binary coarse-graining, versus a graded coarse-graining, transforms the discovery process for activity patterns on the lattice of this cellular automaton.     

Internalizing and externalizing subtypes in female sexual assault survivors: implications for the understanding of complex PTSD

This study replicated and extended findings of internalizing and externalizing subtypes of posttraumatic psychopathology (Miller, M. W., Greif, J. L., & Smith, A. A. (2003). Multidimensional Personality Questionnaire profiles of veterans with traumatic combat exposure: Internalizing and externalizing subtypes. Psychological Assessment, 15, 205-215; Miller, M. W., Kaloupek, D. G., Dillon, A. L., & Keane, T.M. (2004). Externalizing and internalizing subtypes of combat-related PTSD: A replication and extension using the PSY-5 Scales. Journal of Abnormal Psychology, 113, 636-645) to a female sample of rape survivors with chronic PTSD. Cluster analyses of Schedule for Nonadaptive and Adaptive Personality (Clark, L. A. (1996). SNAP-Schedule for Nonadaptive and Adaptive Personality: Manual for administration, scoring, and interpretation. Minneapolis: University of Minnesota Press.) temperament scale profiles from 143 women with PTSD partitioned the sample into a simple PTSD cluster, defined by normal range personality scores and moderate symptomatology, and 2 more "complex" clusters distinguished by more severe tendencies towards externalizing or internalizing psychopathology. Externalizers were characterized by disinhibition, substance dependence, and Cluster B personality disorder features; internalizers by low positive temperament, high rates of major depressive disorder, and elevations on measures of schizoid and avoidant personality disorder.