A multi-systems theory of the structure and dynamics of motor functions

A theoretical analysis of the structure and dynamics of human motor functioning is presented from the perspective of a general theory of individuality. Within multifactor-systems theory, the structural units of the six systems of integrative personality (i.e., sensory, motor, cognitive, affect, style, and value) are hierarchical factor structures. Integrative functioning, both within and among systems, is described via the principles of general systems and information-processing theory. Our theoretical synthesis of the structure and dynamics of human motor functioning involves conceptualizing the hierarchy of motor factors as: (a) the basic dimensions of individual differences in the motor domain, (b) classes of decomposable motor programs that specify the spatio-temporal organization of behavior, and (c) decomposable classes of processing components entailed by motor programs. Some of the implications for understanding the role of affect in motor functioning and some research suggestions were presented.     

Economically organized hierarchies in WordNet and the Oxford English Dictionary

Good definitions consist of words that are more basic than the defined word. There are, however, many ways of satisfying this desideratum. For example, at one extreme, there could be a small set of atomic words that are used to define all other words; i.e., there would be just two hierarchical levels. Alternatively, there could be many hierarchical levels, where a small set of atomic words is used to define a larger set of words, and these are, in turn, used to define the next hierarchically higher set of words, and so on to the top-level of very specific, complex words. Importantly, some possible organizations are more economical than others in the amount of space required to record all the definitions. Here I ask, How economical are dictionaries? I present a simple model for an optimal set of definitions, predicting on the order of seven hierarchical levels. I test the model via measurements from WordNet and the Oxford English Dictionary, and find that the organization of each possesses the signature features expected for an economical dictionary.     

The Emergence and Irreducibility of Scientific Knowledge： A Multi-Synergic-Holism

The world possesses a hierarchical structure and evolves through emergence. Its levels are the result of emergence, and possess unique properties and functions which their components and emergent bases do not. Each of these levels also possesses basic laws or rules which cannot be logically deduced from other levels, and evince downward causation. Therefore, there are non-linear causal networks among the levels of complex systems in which causal reductionism does not hold. The hierarchical structure is formed in accordance with the increasing organized complexity of the objects, so that different levels give birth to different disciplines, and different disciplines have their own theoretical autonomy and independence. Therefore, theories across different levels are essentially irreducible, and any apparent case of reduction may only be so in the sense of a partial reduction. Emergence-evolution-hierarchy ontology and multi-synergic holism is compatible with reductionism even as it transcends it.     

You can detect the trees as well as the forest when adding the leaves: Evidence from visual search tasks containing three-level hierarchical stimuli

The present study investigated how multiple levels of hierarchical stimuli (i.e., global, intermediate and local) are processed during a visual search task. Healthy adults participated in a visual search task in which a target was either present or not at one of the three levels of hierarchical stimuli (global geometrical form made by intermediate forms themselves constituted by local forms). By varying the number of distractors, the results showed that targets presented at global and intermediate levels were detected efficiently (i.e., the detection times did not vary with the number of distractors) whereas local targets were processed less efficiently (i.e., the detection times increased with the number of distractors). Additional experiments confirmed that these results were not due to the size of the target elements or to the spatial proximity among the structural levels. Taken together, these results show that the most local level is always processed less efficiently, suggesting that it is disadvantaged during the competition for attentional resources compared to higher structural levels. The present study thus supports the view that the processing occurring in visual search acts dichotomously rather than continuously. Given that pure structuralist and pure space-based models of attention cannot account for the pattern of our findings, we discuss the implication for perception, attentional selection and executive control of target position on hierarchical stimuli.     

Effects of Knowledge Organization on Task Performance

This study proposes a knowledge organization facilitating human performance on scientifically relevant recall and problem-solving tasks. This organization is structured hierarchically so as to describe knowledge at different levels of detail; it is also task-adapted so that higher levels include information most important for implementing the intended tasks. The efficacy of this organization was assessed by two experiments, in experiment I, college-level subjects read a text and performed special training tasks to acquire knowledge of a physics topic organized either in the preceding hierarchical, or in a detailed single-level .organization; a third group read the single-level organization twice. In a subsequent test, subjects with the hierarchical organization performed appreciably better on tasks of recall, error correction, and knowledge modification. In experiment 2, subjects acquired knowledge in either of two alternative hierarchical organizations of the same physics topic, but with information distributed differently over the levels. As expected, in a subsequent test subjects performed better on those tasks depending on information from higher levels of their hierarchical organization. The specially designed training was effective in producing the desired organization of a subject's internal knowledge, but subjects with lower physics grades seemed less able to assimilate and use a hierarchical organization. Similar conclusions were obtained from a third experiment in which internal, knowledge organization was inferred from an analysis of free-recall protocols.     

A clarification of Multisystem-Multimethod assessment: reductionism versus wholism

A clarification and response to a critique of the Multisystem-Multimethod (MS-MM) family assessment is provided in this paper. This approach consists of a logic for integrating family assessment, systems thinking, and clinical interventions. In contrast to the wholistic, or systemic, focus of MS-MM family assessment, the critique of these procedures recommends a more reductionistic approach that contradicts basic elements of systems theory. The critique advocates the isolation and measurement of a few family phenomena, whereas MS-MM assessment recognizes the interdependence among the levels of organization and components of family systems.     

Lateralized perceptual organization deficits on the global-local task in schizotypal personality disorder

Right and left hemisphere contributions to perceptual organization functions were examined using a divided-attention version of the global-local task in a sample of 21 unmedicated participants diagnosed with schizotypal personality disorder (SPD) and 20 controls. The SPD participants showed an abnormal global processing advantage. When the visual angle of the hierarchical stimuli was increased from 3 degrees to 9 degrees, the controls showed an increasing local processing advantage, but the SPD participants continued to show an abnormal global processing advantage. These findings suggest a local processing deficit on divided-attention versions of the global-local task in schizophrenia spectrum disorders. Female SPD participants, who had less severe interpersonal deficit symptoms, showed a more abnormal global processing advantage. Hemispheric and processing resource mechanisms that might explain these findings are discussed.     

Morphic Fields

Formulation of a general model of evolution is presented which is based upon the recognition of the “biosocial” entity, that is the biosphere and human society, as a component‐system. It can be demonstrated that the interactions of the components (moleculas, cells, organisms, ecosystems in the biological realms and people, artifacts and ideas in the societies) have replicative organization. We suggest an explanation for the spontaneous emergence of replicative function and organization, a process called autogenesis. During autogenesis, hierarchical levels of replicative organization emerge and compartmentalization and convergence of replicative information occurs. Questions of the origin and evolution of life are discussed.

The replicative paradigm can also be applied to the processes of cultural evolution, in which complex replicative networks of people, ideas, and man‐made artifacts show all stages and phenomena of autogenesis. Finally, the present state of evolution of the whole global biosocial system is discussed.     

Memory retrieval tasks determine the serial position curves of linear orders with categorical structures

I examined 2 different views on organization of linear order information in memory: the linear schema view and the hierarchical structure view. The linear schema view holds that there is a strong tendency in memory to organize an array of transitively related elements into a unidimensional order. The hierarchical structure view maintains that the transitively related elements are organized in memory in a hierarchy of items. I proposed an input structure and retrieval compatibility hypothesis as a coherent explanation for the contradictory views on the memory organization of serial elements. I argue that the organization of linear order information in memory is determined by the nature of the memory retrieval task used. For example, a comparative judgment task is more compatible with a unidimensional structure, whereas a sequential recall or serial position identification task is more compatible with a hierarchical organization. The input structure and retrieval compatibility concept can also explain why dichotomous categories imposed on a linear order play very little role in comparative judgments.     

Selective visual attention and perceptual coherence

Conscious perception of the visual world depends on neural activity at all levels of the visual system from the retina to regions of parietal and frontal cortex. Neurons in early visual areas have small spatial receptive fields (RFs) and code basic image features; neurons in later areas have large RFs and code abstract features such as behavioral relevance. This hierarchical organization presents challenges to perception: objects compete when they are presented in a single RF, and component object features are coded by anatomically distributed neuronal activity. Recent research has shown that selective attention coordinates the activity of neurons to resolve competition and link distributed object representations. We refer to this ensemble activity as a "coherence field", and propose that voluntary shifts of attention are initiated by a transient control signal that "nudges" the visual system from one coherent state to another.     

The effect of hierarchical levels of categories on children's deductive inferences about inclusion

Although the hierarchical levels of categories have been recognized as a major factor of variation in categorical reasoning, few studies have examined its effect on the understanding of inclusion. This issue was approached by varying the levels (subordinate, basic, and superordinate) of categories involved in inference tasks assessing 5‐, 7‐, and 9‐year‐old children's understanding of transitivity and asymmetry of inclusive relations in the dog hierarchy. Children were administered both a qualitative inference task and a quantitative class‐inclusion task, each presenting different hierarchical levels. Results showed that the ability to make qualitative inferences assessing transitivity varied with age. Although children of all ages demonstrated a high rate of success at these inference questions, 7‐ and 9‐year‐olds had better performance than 5‐year‐olds, suggesting that the capacity to understand the transitivity of inclusive relations still develops until at least 7 years. However, the hierarchical levels of categories had no effect on children's performance either in qualitative inferences requiring transitivity understanding or in class‐inclusion problems. In contrast, for qualitative inferences assessing asymmetry, children's performance varied with the hierarchical level of the categories involved. Inferring from a superordinate to a basic level category, inferring from a superordinate to a subordinate level category, and inferring from a basic to a subordinate level category appeared as three levels of increasing difficulty. Our analyses also revealed that 7‐year‐olds were better at grasping the asymmetry in the superordinate‐to‐basic relation than in any other relation between categories of different hierarchical levels, and that their 9‐year‐old peers mastered the asymmetric nature of inclusion in both superordinate‐to‐basic and superordinate‐to‐subordinate relations. This might indicate that the different levels of difficulty observed are developmentally grounded. Though exploratory, these findings help to clarify the steps through which the child comes to grasp the difficult concepts of inclusion and asymmetry and give some indications on the possible constraints that may affect their acquisition.     

A hierarchical state space approach to affective dynamics

Linear dynamical system theory is a broad theoretical framework that has been applied in various research areas such as engineering, econometrics and recently in psychology. It quantifies the relations between observed inputs and outputs that are connected through a set of latent state variables. State space models are used to investigate the dynamical properties of these latent quantities. These models are especially of interest in the study of emotion dynamics, with the system representing the evolving emotion components of an individual. However, for simultaneous modeling of individual and population differences, a hierarchical extension of the basic state space model is necessary. Therefore, we introduce a Bayesian hierarchical model with random effects for the system parameters. Further, we apply our model to data that were collected using the Oregon adolescent interaction task: 66 normal and 67 depressed adolescents engaged in a conflict-oriented interaction with their parents and second-to-second physiological and behavioral measures were obtained. System parameters in normal and depressed adolescents were compared, which led to interesting discussions in the light of findings in recent literature on the links between cardiovascular processes, emotion dynamics and depression. We illustrate that our approach is flexible and general: The model can be applied to any time series for multiple systems (where a system can represent any entity) and moreover, one is free to focus on various components of this versatile model.     

内部分配改革的职务评价技术探新

建立工资标准系统的关键是确定职务工资率。职务间可比价值成分变异越大,对确定职务工资率的贡献也越大。根据以上研究设想采用方差分析方法进行职务评价。评价步骤包括：职务描述;对职务要素作主成分分析;对职务样本作聚类分析和判别分析;通过方差分析为可比价值各成分建构权重系数ωｉ。ωｉ‘满足：（１）ωｉ≥０;（２）Σωｉ＝１;（３）ωｉ,间可直接比较;（４）ωｉ的大小与对应的可比价值成分变异一致。最后将职务评价值线性变换为工资率。在线性方程中配一个常数。和调节系数α以适合组织的管理约束条件。配合两个企业内部分配改革的研究结果显示了方差分析法的有效性和实用性。