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The World as Distributed Brain with Spatial Grasp Paradigm

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Intelligent Systems for Science and Information

Part of the book series: Studies in Computational Intelligence ((SCI,volume 542))

Abstract

A novel ideology and supporting distributed information and control technology will be presented that can convert any distributed system into an integral spatial brain exhibiting global awareness, consciousness and will, pursuit of global goals, and recovery from indiscriminate damages. The technology is based on implanting of universal intelligent modules into key system points which interacting via any available channels cooperatively interpret high-level Spatial Grasp Language (SGL). The system and mission scenarios in SGL can start from any point, subsequently covering the system at runtime in a self-modifying and self-replicating manner. This can orient its local and global behavior in the way required, and establish spatial infrastructures also using other models and technologies.

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Author information

Authors and Affiliations

  1. Institute of Mathematical Machines and Systems, National Academy of Sciences of Ukraine, Kiev, Ukraine

    Peter Simon Sapaty

Authors
  1. Peter Simon Sapaty
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Editor information

Editors and Affiliations

  1. School of Computer Science and Informatics, De Montfort University, The Gateway, Leicester, LE1 9BH, United Kingdom

    Liming Chen

  2. The Science and Information Organization, New York, USA

    Supriya Kapoor

  3. The Science and Information Organization, New York, USA

    Rahul Bhatia

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© 2014 Springer International Publishing Switzerland

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Sapaty, P.S. (2014). The World as Distributed Brain with Spatial Grasp Paradigm. In: Chen, L., Kapoor, S., Bhatia, R. (eds) Intelligent Systems for Science and Information. Studies in Computational Intelligence, vol 542. Springer, Cham. https://doi.org/10.1007/978-3-319-04702-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-04702-7_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04701-0

  • Online ISBN: 978-3-319-04702-7

  • eBook Packages: EngineeringEngineering (R0)

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