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Processing Elements (processing + element)

Distribution by Scientific Domains

Information Science and Computing	50%

Selected Abstracts

Archetypes as action patterns,

THE JOURNAL OF ANALYTICAL PSYCHOLOGY, Issue 3 2009
George B. Hogenson
Abstract:, The discovery of mirror neurons by researchers at the University of Parma promises to radically alter our understanding of fundamental cognitive and affective states. This paper explores the relationship of mirror neurons to Jung's theory of archetypes and proposes that archetypes may be viewed as elementary action patterns. The paper begins with a review of a proposed interpretation of the fainting spells of S. Freud in his relationship with Jung as an example of an action pattern that also defines an archetypal image. The challenge that mirror neurons present to traditional views in analytical psychology and psychoanalysis, however, is that they operate without recourse to a cognitive processing element. This is a position that is gaining increasing acceptance in other fields as well. The paper therefore reviews the most recent claims made by the Boston Process of Change Study Group as well as conclusions drawn from dynamic systems views of development and theoretical robotics to underline the conclusion that unconscious agency is not a requirement for coherent action. It concludes with the suggestion that this entire body of research may lead to the conclusion that the dynamic unconscious is an unnecessary hypothesis in psychoanalysis and analytical psychology. Translations of Abstract La découverte de neurones miroirs par des chercheurs de l'université de Parme promet une altération radicale de notre compréhension des états cognitifs et affectifs fondamentaux. Cet article analyse le rapport entre les neurones miroirs et la théorie des archétypes de Jung. Il pose l'éventualité que les archétypes puissent être envisagés comme des «patterns»élémentaires d'action. Il part d'une interprétation des évanouissements de Freud aux temps de sa relation avec Jung, comme exemple de «pattern» d'action définissant également une image archétypique. Le défi posé par les neurones miroirs aux conceptions traditionnelles de la psychologie analytique et de la psychanalyse, réside dans une modalité de fonctionnement qui exclut le recours aux processus cognitifs. Une telle conception est de plus en plus répandue et ce, dans des champs divers. L'article passe en revue les dernières avancées du Boston Process of Change Study Group, de même que les conclusions des théories dynamiques du développement et de la robotique théorique, pour appuyer l'idée que les agents inconscients ne sont pas la condition absolue d'une action cohérente. L'article s'achève en évoquant la probabilité que l'ensemble de ces recherches ne parviennent à la conclusion que l'inconscient dynamique constitue une hypothèse superflue en psychanalyse et en psychologie analytique. Die Entdeckung der Spiegelneuronen durch Forscher an der Universität von Parma verspricht eine radikale Änderung unseres Verständnisses von Kognitiven und affektiven Zuständen. Dieser Aufsatz untersucht die Beziehung zwischen Spiegelneuronen und Jungs Theorie der Archetypen und kommt zu dem Vorschlag, daß Archetypen als elementare Verhaltensmuster zu betrachten seien. Begonnen wird mit einer Rückschau auf eine angenommene Interpretation der Ohnmachtsanfälle S. Freuds im Kontakt mit Jung als eines Beispiels für ein Verhaltensmuster, das gleichzeitig ein archetypisches Bild definiert. Die Herausforderung aber, die Entdeckung der Spiegelneuronen für die traditionellen Sichtweisen der Analytischen Psychologie und Psychoanalyse darstellt besteht darin, daß sie ohne Rückgriff auf kognitive Prozeßelemente funktionieren. Dies ist eine Position, die auch auf anderen Gebieten zunehmend an Akzeptanz gewinnt. Der Aufsatz resümiert deswegen die neuesten diesbezüglichen Theorien, die von der Bostoner Forschungsgruppe ,Prozeß des Wandels' aufgestellt wurden sowie die Schlüsse, die aus der Untersuchung von dynamischen Systemen, aus Erkenntnissen der praktischen und theoretischen Roboterentwicklung gewonnen wurden um die Folgerung zu stützen, daß die Existenz einer Ebene des Unbewußten zur Ausführung kohärenter Aktionen nicht erforderlich ist. Der Text schließt mit der Annahme, daß der gesamte Fundus dieser Forschung zu der Folgerung führen könnte, daß das dynamische Unbewußte eine unnötige Hypothese der Psychoanalyse und der Analytischen Psychologie sei. La scoperta dei neuroni specchio fatta dai ricercatori dell'Università di Parma ci permette di cambiare radicalmente il nostro modo di intendere gli stati fondamentali cognitivi e affettivi. In questo lavoro viene presa in esame la relazione tra i neuroni specchio e la teoria degli archetipi e si propone di considerare gli archetipi come schemi di azione elementari. Si inizia riesaminando una interpretazione degli svenimenti di Freud nella sua relazione con Jung considerandola come un esempio di uno schema di azione che definisce anche un'immagine archetipica. La sfida che i neuroni specchio presentano al punto di vista tradizionale della psicologia analitica e della psicoanalisi è che essi operano senza ricorrere a un elemento procedurale cognitivo. Tale posizione viene sempre più accettata anche in altri campi. In questo scritto si analizzano poi sia le più recenti affermazioni fatte dal Boston Process of Change Study Group sia le conclusioni raggiunte dal punto di vista dei sistemi dinamici di sviluppo e dalla teoria robotica per giungere alla conclusione che l'agentività dell'inconscio non è un requisito necessario per un'azione coerente. Il lavoro si conclude con la considerazione che questo intero corpo di ricerca può condurre alla conclusione che un inconscio dinamico non rappresenta un'ipotesi necessaria né nella psicoanalisi né nella psicologia analitica. El descubrimiento de las neuronas de espejo por las investigadores en la Universidad de Parma prometen alterar radicalmente nuestra comprensión de estados cognoscitivos y afectivos fundamentales. Este trabajo explora la relación de las neuronas de espejo con la teoría del Jung de los arquetipos y propone que los arquetipos puedan ser vistos como pautas elementales de acción. Se inicia con una revisión de la interpretación propuesta a los desvanecimientos de S. Freud en su relación con Jung como ejemplo de una pauta de acción que define una imagen arquetípica. El desafío que las neuronas espejo presenta a los conceptos tradicionales en la psicología analítica y el psicoanálisis, sin embargo, es que ellos operan sin el recurso de un elemento de procesamiento cognoscitivo. Es esta una posición que ha ganado aceptación también en otros campos. El trabajo por lo tanto revisa las reflexiones más recientes del Grupo de Estudio del Proceso de Cambio de Boston así como las conclusiones descritas por las dinámicas de los sistemas del desarrollo y la robótica teórica para subrayar la conclusión de que el control inconsciente no es un requisito para la acción coherente. El papel concluye con la sugerencia según la cual estas investigaciones pueden llevar a la conclusión de que el inconsciente dinámico es una hipótesis innecesaria en el psicoanálisis y la psicología analítica. [source]

Optimizing process allocation of parallel programs for heterogeneous clusters

CONCURRENCY AND COMPUTATION: PRACTICE & EXPERIENCE, Issue 4 2009
Shuichi Ichikawa
Abstract The performance of a conventional parallel application is often degraded by load-imbalance on heterogeneous clusters. Although it is simple to invoke multiple processes on fast processing elements to alleviate load-imbalance, the optimal process allocation is not obvious. Kishimoto and Ichikawa presented performance models for high-performance Linpack (HPL), with which the sub-optimal configurations of heterogeneous clusters were actually estimated. Their results on HPL are encouraging, whereas their approach is not yet verified with other applications. This study presents some enhancements of Kishimoto's scheme, which are evaluated with four typical scientific applications: computational fluid dynamics (CFD), finite-element method (FEM), HPL (linear algebraic system), and fast Fourier transform (FFT). According to our experiments, our new models (NP-T models) are superior to Kishimoto's models, particularly when the non-negative least squares method is used for parameter extraction. The average errors of the derived models were 0.2% for the CFD benchmark, 2% for the FEM benchmark, 1% for HPL, and 28% for the FFT benchmark. This study also emphasizes the importance of predictability in clusters, listing practical examples derived from our study. Copyright © 2008 John Wiley & Sons, Ltd. [source]

Leaf Processing by Wild Chimpanzees: Physically Defended Leaves Reveal Complex Manual Skills

ETHOLOGY, Issue 8 2002
Nadia Corp
The manual processing of eight species of leaf was investigated in the M-group chimpanzees of Mahale Mountains National Park, Tanzania. Leaf species varied in the extent to which physical defences made consumption difficult. In all, 96 distinct techniques for leaf processing were identified, but two species with defended leaves (Ficus asperifolia and F. exasperata) required 2.5 as many techniques as did any of the six undefended species. Moreover, chimpanzees made more multiple leaf detachments, and made more subsequent modifications of the leaves, when dealing with the leaves of these two Ficus species, compared with the undefended leaf species. This greater complexity was associated with evidence of flexible, hierarchical organization of the process: iteration of modules consisting of several processing elements, facultative omission of modules, or substitutions of alternative modules. Comparison with data from mountain gorillas is made, and is consistent with similar cognitive architecture in the two species. We consider that, not only is hierarchical organization currently associated with mechanical difficulty in food processing, but that over evolutionary time-scales difficulties in food processing may have selected for cognitive advance. [source]

Properties and performance of orthogonal neural network in function approximation

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 12 2001
Chieh F. Sher
Backpropagation neural network has been applied successfully to solving uncertain problems in many fields. However, unsolved drawbacks still exist such as the problems of local minimum, slow convergence speed, and the determination of initial weights and the number of processing elements. In this paper, we introduce a single-layer orthogonal neural network (ONN) that is developed based on orthogonal functions. Since the processing elements are orthogonal to one another and there is no local minimum of the error function, the orthogonal neural network is able to avoid the above problems. Among the five existing orthogonal functions, Legendre polynomials and Chebyshev polynomials of the first kind have the properties of recursion and completeness. They are the most suitable to generate the neural network. Some typical examples are given to show their performance in function approximation. The results show that ONN has excellent convergence performance. Moreover, ONN is capable of approximating the mathematic model of backpropagation neural network. Therefore, it should be able to be applied to various applications that backpropagation neural network is suitable to solve. © 2001 John Wiley & Sons, Inc. [source]