Wolfgang Prinz – författare
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A novel proposal that the cognitive architecture for volition and cognition arises from particular kinds of social interaction and communication.
In Open Minds, Wolfgang Prinz offers the novel claim that agency and intentionality are first perceived and understood in others, and that it is only through practices and discourses of social mirroring that individuals come to apply these features to themselves and to shape their architectures for volition and cognition accordingly. Developing a (social science) constructive approach within a (cognitive science) representational framework, Prinz argues that the architectures for agency (volition) and intentionality (cognition) arise from particular kinds of social interaction and communication. Rather than working as closed, individual systems, our minds operate in ways that are fundamentally open to other minds.
Prinz describes mirror systems and mirror games, particular kinds of representational mechanisms and social games that provide tools for aligning closed individual minds with other minds. He maps the formation of an architecture for volition, addressing issues of agency and intention-based top-down control, then outlines the ways the same basic ideas can be applied to an architecture for cognition, helping to solve basic issues of subjectivity and intentionality.
Addressing the reality and efficacy of such social artifacts as autonomy and free will, Prinz contends that our beliefs about minds are not just beliefs about their workings but powerful tools for making them work as we believe. It is through our beliefs that our minds work in a particular way that we actually make them work in that way.
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The Imitative Mind
Development, Evolution and Brain Bases
1 523 kr
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The Imitative Mind
Development, Evolution and Brain Bases
608 kr
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980 kr
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874 kr
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1 108 kr
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570 kr
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Bewusstsein erklären
265 kr
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Interaktionsorientiertes Wissensmanagement
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569 kr
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549 kr
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693 kr
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1 467 kr
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2 239 kr
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1 879 kr
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The monetization of data is a very young topic, for which there are only very few case studies. There is a lack of strategy or concept that shows decision-makers the way into the monetization of data, especially those who have discovered or are threatened by the digital transformation or Industry 4.0. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential. In order to make this potential tangible, this work describes not only contributions from science, but also practical examples from industry. Based on different examples from various industries, the reader can already become part of a future data economy today. Values and benefits are described in detail. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
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