Systems neuroscience in focus: from the human brain to the global brain?

Kyriazis, Marios

doi:10.3389/fnsys.2015.00007

Cited by 24 publications

(16 citation statements)

References 33 publications

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“…The clear location of this new complex order should be concretely related to basins of attraction of the differentiated distinctions related to human beings (divisions) and the way in which their psychosocial intensities and qualities are coordinated and constrained in integrated connections (unities). In the global technological singularity literature the future divisions are often represented as artificial general intelligences and the future unity is often represented in terms of distributed digital networks [75,76]. .…”

Section: Cosmic Evolutionary Philosophymentioning

confidence: 99%

Cosmic Evolutionary Philosophy and a Dialectical Approach to Technological Singularity

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2018

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The anticipated next stage of human organization is often described by futurists as a global technological singularity. This next stage of complex organization is hypothesized to be actualized by scientific-technic knowledge networks. However, the general consequences of this process for the meaning of human existence are unknown. Here, it is argued that cosmic evolutionary philosophy is a useful worldview for grounding an understanding of the potential nature of this futures event. In the cosmic evolutionary philosophy, reality is conceptualized locally as a universal dynamic of emergent evolving relations. This universal dynamic is structured by a singular astrophysical origin and an organizational progress from sub-atomic particles to global civilization mediated by qualitative phase transitions. From this theoretical ground, we attempt to understand the next stage of universal dynamics in terms of the motion of general ideation attempting to actualize higher unity. In this way, we approach technological singularity dialectically as an event caused by ideational transformations and mediated by an emergent intersubjective objectivity. From these speculations, a historically-engaged perspective on the nature of human consciousness is articulated where the truth of reality as an emergent unity depends on the collective action of a multiplicity of human observers.

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Section: Cosmic Evolutionary Philosophymentioning

confidence: 99%

Cosmic Evolutionary Philosophy and a Dialectical Approach to Technological Singularity

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2018

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“…One answer to this question comes from recent work on what is referred to as the 'global brain' (Heylighen 2013;Kyriazis 2015;Vidal 2015). The global brain, in this case, is a metaphor for a form of planetary-scale superintelligence that is ''formed by all people on this planet together with their artifacts and technologies'' (Heylighen 2013, p. 905).…”

Section: Embodied Cognitionmentioning

confidence: 99%

Situating Machine Intelligence Within the Cognitive Ecology of the Internet

Smart

2017

Minds & Machines

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The Internet is an important focus of attention for the philosophy of mind and cognitive science communities. This is partly because the Internet serves as an important part of the material environment in which a broad array of human cognitive and epistemic activities are situated. The Internet can thus be seen as an important part of the 'cognitive ecology' that helps to shape, support and (on occasion) realize aspects of human cognizing. Much of the previous philosophical work in this area has sought to analyze the cognitive significance of the Internet from the perspective of human cognition. There has, as such, been little effort to assess the cognitive significance of the Internet from the perspective of 'machine cognition'. This is unfortunate, because the Internet is likely to exert a significant influence on the shape of machine intelligence. The present paper attempts to evaluate the extent to which the Internet serves as a form of cognitive ecology for synthetic (machine-based) forms of intelligence. In particular, the phenomenon of Internet-situated machine intelligence is analyzed from the perspective of a number of approaches that are typically subsumed under the heading of situated cognition. These include extended, embedded, scaffolded and embodied approaches to cognition. For each of these approaches, the Internet is shown to be of potential relevance to the development and operation of machine-based cognitive capabilities. Such insights help us to appreciate the role of the Internet in advancing the current state-of-the-art in machine intelligence.

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“…Using this interface and an internet connection, two individuals were able to communicate simple Morse code (Grau et al 2014 ) of using such technologies. In particular, there is a fear that individual minds could be assimilated into a group mind or hive mind (Trimper et al 2014 ;Hildt 2015 ;Kyriazis 2015 ). Although some believe this could usher in an era of higher intelligence (Kyriazis 2015 ), others believe it could eliminate the aspect of individuality (Hildt 2015 ).…”

Section: A Brain-to-brain Interface In Humans Can Be Used To Cooperatmentioning

confidence: 99%

“…In particular, there is a fear that individual minds could be assimilated into a group mind or hive mind (Trimper et al 2014 ;Hildt 2015 ;Kyriazis 2015 ). Although some believe this could usher in an era of higher intelligence (Kyriazis 2015 ), others believe it could eliminate the aspect of individuality (Hildt 2015 ). Another issue raised is neural privacy: some are afraid that sensitive thoughts could be read and exposed to the public without the thinker's consent (Trimper et al 2014 ).…”

Section: A Brain-to-brain Interface In Humans Can Be Used To Cooperatmentioning

confidence: 99%

Neural Engineering

2016

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Systems neuroscience in focus: from the human brain to the global brain?

Cited by 24 publications

References 33 publications

Cosmic Evolutionary Philosophy and a Dialectical Approach to Technological Singularity

Cosmic Evolutionary Philosophy and a Dialectical Approach to Technological Singularity

Situating Machine Intelligence Within the Cognitive Ecology of the Internet

Neural Engineering

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