726 research outputs found

    Triple-loop learning as foundation for profound change, individual cultivation, and radical innovation: Construction processes beyond scientific and rational knowledge.

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    Purpose: How does new knowledge or profound change come about and which processes of construction are involved? This article aims at developing an epistemological as well as methodological framework which is capable of explaining how profound and radical change can be brought about in various contexts, such as in individual cultivation, in organizations, in processes of radical innovation, etc. The concept of emergent innovation will be developed—it is based on the triple-loop learning strategy and the U-theory approach which opens up a perspective how the domain of scientific/rational knowledge, constructivism, and wisdom could grow together more closely. Design/Structure: This article develops a strategy which is referred to as “triple-loop learning”, which is not only the basis for processes of profound change, but also brings about a new dimension in the field of innovation, learning, and knowledge dynamics: the existential realm and the domain of wisdom. A concrete approach realizing the triple-loop learning strategy is presented. The final section shows, how these concepts can be interpreted in the context of the constructivist approach and how they might offer some extensions to this paradigm. Findings: The process of learning and change has to be extended to a domain which concerns existential issues as well as questions of wisdom. Profound change can only happen, if these domains are taken into consideration. The triple-loop learning strategy offers a model fulfilling this criterion. It is an “epistemo-existential strategy” for profound change on various levels. Conclusions: The (cognitive) processes and attitudes of receptivity, suspension, redirecting, openness, deep knowing, as well as “profound change/innovation from the interior” turn out to be core concepts in this process of emergent innovation. They are compatible with constructivist concepts. Glasersfeld’s concept of functional fitness is carried to an extreme in the suggested approach of profound change and finds an extension in the existential domain.Double-loop learning, individual cultivation, emergent innovation, (radical) innovation, knowledge creation, knowledge society, personality development, presencing, profound change, triple-loop learning, U-theory, wisdom

    Emergent Innovation and Sustainable Knowledge Co-creation. A Socio-Epistemological Approach to “Innovation from within”

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    Innovation has become one of the most important issues in modern knowledge society. As opposed to radical innovation this paper introduces the concept of Emergent Innovation: this approach tries to balance and integrate the demand both for radically new knowledge and at the same time for an organic development from within the organization. From a more general perspective one can boil down this problem to the question of how to cope with the new and with profound change (in knowledge). This question will be dealt with in the first part of the paper. As an implication the alternative approach of Emergent Innovation will be presented in the second part: this approach looks at innovation as a socio-epistemological process of “learning from the future” in order to create (radically) new knowledge in a sustainable and “organic” manner. Implications for knowledge society will be discussed.Knowledge society; (radical vs. incremental) innovation; emergent innovation; knowledge creation; change

    [How] Can Pluralist Approaches to Computational Cognitive Modeling of Human Needs and Values Save our Democracies?

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    In our increasingly digital societies, many companies have business models that perceive users’ (or customers’) personal data as a siloed resource, owned and controlled by the data controller rather than the data subjects. Collecting and processing such a massive amount of personal data could have many negative technical, social and economic consequences, including invading people’s privacy and autonomy. As a result, regulations such as the European General Data Protection Regulation (GDPR) have tried to take steps towards a better implementation of the right to digital privacy. This paper proposes that such legal acts should be accompanied by the development of complementary technical solutions such as Cognitive Personal Assistant Systems to support people to effectively manage their personal data processing on the Internet. Considering the importance and sensitivity of personal data processing, such assistant systems should not only consider their owner’s needs and values, but also be transparent, accountable and controllable. Pluralist approaches in computational cognitive modelling of human needs and values which are not bound to traditional paradigmatic borders such as cognitivism, connectionism, or enactivism, we argue, can create a balance between practicality and usefulness, on the one hand, and transparency, accountability, and controllability, on the other, while supporting and empowering humans in the digital world. Considering the threat to digital privacy as significant to contemporary democracies, the future implementation of such pluralist models could contribute to power-balance, fairness and inclusion in our societies.[Comment] Est-ce que les approches pluralistes à la modélisation cognitive computationnelle des besoins et valeurs humains peuvent sauver nos démocraties ? Dans nos sociétés de plus en plus digitales, un grand nombre des entreprises implémentent un modèle commercial qui perçoive les données personnelles des usagers (ou des consommateurs) en tant que ressource cloisonnée, détenue et contrôlée par le contrôleur des données plutôt que les personnes concernées. La collecte et le traitement d'une telle quantité de données personnelles comporte de nombreuses conséquences techniques, sociales et économiques négatives, y compris l'atteinte à la vie privée des personnes et à l'autonomie des individus. En conséquence, de nouvelles réglementations telles que le règlement. général européen sur la protection des données (RGPD) ont tenté de prendre des mesures importantes pour une meilleure mise en oeuvre du droit à la vie privée digitale. Le présent document propose que ces actes juridiques s'accompagnent du développement de solutions techniques complémentaires telles que les systèmes d''assistants personnels cognitifs qui pourraient aider les personnes à gérer le traitement de leurs données personnelles sur Internet. Considérant l'importance et la sensibilité du traitement des données à caractère personnel, ces systèmes assistants devraient non seulement tenir compte des besoins et des valeurs de leurs propriétaires, mais aussi être transparents, responsables et contrôlables. Les approches pluralistes dans la modélisation cognitive computationnelle des besoins et des valeurs humaines qui ne sont pas limitées par des frontières paradigmatiques traditionnelles comme le cognitivisme, le connectionnisme ou l'énactivisme, pourraient créer un équilibre entre l'aspect pratique et l'utilité, d'une part, et la transparence, la responsabilité et le contrôle, d'autre part, tout en appuyant et en donnant du pouvoir aux humains dans le monde digital. En considérant la menace pour la vie privée digitale comme une menace significative pour les démocraties contemporaines, la mise en oeuvre future de tels modèles pluralistes contribuerait à l'équilibre des pouvoirs, l'équité et l'inclusion dans nos sociétés.Human Soheil, Neumann Gustaf, F. Peschl Markus. [How] Can Pluralist Approaches to Computational Cognitive Modeling of Human Needs and Values Save our Democracies?. In: Intellectica. Revue de l'Association pour la Recherche Cognitive, n°70, 2019/1. Éthique et Sciences Cognitives. pp. 165-180

    Perzeption, Konstruktion und Repräsentation

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    Synaptische Gewichte, Lernen und Repräsentation

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    Neuronale Wissensrepräsentation I: Grundfragen

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