Neurobionic architecture of automation systems-obstacles and challenges

Brainin, Elisabeth; Dietrich, Dietmar; Kästner, Wolfgang; Pálenský, Peter; Roesener, C.

doi:10.1109/africon.2004.1406885

Cited by 9 publications

(10 citation statements)

References 5 publications

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“…Als oberste Schicht sieht man das psychoanalytische Modell, das aber selbst nicht mehr hierarchisch ist, denn es ist ein dezentralisiertes verteiltes Funktionsmodell. Dazwischen kann nach (Brainin et al, 2004) die Symbolisierung angesiedelt werden, darunter wiederum die ,,Hardware'', das heißt die neuronale Schicht.…”

Section: Bionisches Modellunclassified

Neue Wege der kognitiven Wissenschaft im Bereich der Automation

Dietrich

Zucker

Bruckner

et al. 2008

Elektrotech. Inftech.

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Es steht ein Paradigmenwechsel der kognitiven Wissenschaften im technischen Bereich bevor. Er ist auch notwendig, denn in der Automation sucht man dringend Lö sungen, um komplexe Prozesse zu beherrschen, und die bisherigen Methoden und Prinzipien greifen nicht. Da dies jedoch enorme wirtschaftliche Folgen nach sich zieht, wird es notwendig, nicht einfach ,,stur'' nach weiteren Optimierungen zu suchen, sondern einmal einen Schritt zurü ckzutreten und alles Revue passieren zu lassen, um neue Wege beschreiten zu kö nnen. Aufgrund der Erfahrungen und Beschrä nkungen der bisher untersuchten Ansä tze im Bereich der kü nstlichen Intelligenz wurde entschieden, Anleitung bei einer Wissenschaft zu suchen, die ein funktionales Modell menschlichen Denkens erarbeitet hat: der Psychoanalyse. Die Ergebnisse des installierten Projektes fü hrten zum weltweit ersten Forum dieser Art im Sommer 2007, an dem Techniker und Neuropsychoanalytiker teilnahmen, um seither gemeinsame Umsetzungen zu diskutieren. Im Folgenden werden wesentlichen Aspekte in diesem Wissenschaftsbereich angefü hrt, die zugrunde gelegten Prinzipien vorgestellt, entscheidende Fehler, die wir Techniker bisher machten und die daraus resultierenden, notwendigen Konsequenzen formuliert. Damit wird ein vö llig neuer Weg gezeigt, der entscheidenden Einfluss auf die Automation, aber auch auf andere Wissenschaftsgebiete haben kö nnte.Schlü sselwö rter: kognitive Automatisierung; funktionale Modellierung; Informationsverarbeitung in komplexen Systemen; Psychoanalyse; Paradigmenwechsel New ways of cognitive science in automation.Cognitive science in technical areas faces a paradigm shift. This has truly become necessary, since automation is craving for solutions to control complex processes -and the current methods and principles do not yield satisfying results. Due to the fact that such changes result in enormous economic consequences, we cannot just ''stubbornly'' look for further optimizations, but have to step back and re-evaluate the developments so far in order to find new ways. Previous attempts with artificial intelligence revealed limitations of applying such approaches in this field and therefore the decision to look for support in a science that has a functional model of the human mind has been taken: psychoanalysis. A project that was installed at the Vienna University of Technology lead to the first international forum of this kind, held in summer 2007, where engineers as well as neuro-psychoanalysts participated and discussed future cooperation for implementations. This paper lists principal aspects in this new scientific field; it introduces the underlying principles, points out critical deficiencies of previous attempts and formulates the necessary consequences. A completely new way is introduced, which may have crucial influence on automation as well as on other scientific fields. Herausforderungen in der AutomationDie Kommunikation in der industriellen Automation hat eine lange Geschichte. Gerade deshalb ist es interessant, dass sich am Markt jahrelang kau...

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Section: Bionisches Modellunclassified

Neue Wege der kognitiven Wissenschaft im Bereich der Automation

Dietrich

Zucker

Bruckner

et al. 2008

Elektrotech. Inftech.

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“…Recent research in PPP -and especially neuro-pathology [3]-has lead to great insight on how the mind might work. The usage of feelings, the balance of Ego, Super-Ego, and Id [4], memory that is gained and lost again, sub-and pre-conscious aspects, and other mechanisms of the human mind are essential ingredients for intelligent behavior [5]. A very interesting phase of the human mind is its early stage in childhood, where consciousness and self-perception is started: a baby grabs its foot.…”

Section: Large Amounts Of Datamentioning

confidence: 99%

Project ARS - the next step towards an intelligent environment

Pratl

Pálenský

2005

IEE Seminar on Intelligent Building Environments

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Project ARS (advanced recognition system) researches the future possibilities for building automation. Psychological models are used to deal with massive amounts of data in order to manage complex scenarios. Such a system would enable a building automation system to detect and comprehend situations that are too complex for existing solutions. This paper describes the motivation for this system, the impressive challenges and the first steps of implementing it.

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“…A possibility to solve this problem is to model mechanisms of the human mind. A novel concept is to use the theoretical background of psychoanalysis as foundation [5]. The resulting model is described in depth in [6]- [8] and a brief overview is given in Section IV.…”

Section: Introductionmentioning

confidence: 99%

Cognitive decision unit applied to autonomous biped robot NAO

Deutsch

Muchitsch

Zeilinger

et al. 2011

2011 9th IEEE International Conference on Industrial Informatics

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The novel approach to use meta-psychology-the theoretic foundation of psychoanalysis-as archetype for a decision making framework for autonomous agents was realized in simulations recently. In addition, multiple studies showed the capability of a robot to sense and interact in its environment. This work fills the gap between sensing, environmental interaction and decision making by grounding these topics with an agents internal needs using the concepts of meta-psychology. The bodies of typical agents are equipped with internal systems which can generate bodily needs-for example the urgent need for food. As proof-of-concept we implemented this concept on a simulated agent as well as on a physical real humanoid biped robot to additionally proof the concept within a fully controlled simulated environment. The use of the common humanoid robot platform NAO, which has 25 degrees of freedom and biped locomotion, enforced us to deal with complex situations and disturbed sensor readings. NAO provides various internal sensors like engine temperature or battery level as well as external sensors like sonar or cameras. An implemented visual marker detecting system allowed us to detect objects in the surrounding environmental, representing food or energy sources. We show, how it is possible to use the psychoanalytically inspired framework ARS to control a real world application, the robot NAO.

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Neurobionic architecture of automation systems-obstacles and challenges

Cited by 9 publications

References 5 publications

Neue Wege der kognitiven Wissenschaft im Bereich der Automation

Neue Wege der kognitiven Wissenschaft im Bereich der Automation

Project ARS - the next step towards an intelligent environment

Cognitive decision unit applied to autonomous biped robot NAO

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