Turing centenary: Is the brain a good model for machine intelligence?

  title={Turing centenary: Is the brain a good model for machine intelligence?},
  author={Rodney A. Brooks and Demis Hassabis and D. Bray and Amnon Shashua},
Alan Turing looked to the human brain as the prototype for intelligence. If he were alive today, he would surely be working at the intersection of natural and artificial intelligence. Yet to date, artificial intelligence (AI) researchers have mostly ignored the brain as a source of algorithmic ideas. Although in Turing’s time we lacked the means to look inside this biological ‘black box’, we now have a host of tools, from functional magnetic resonance imaging to optogenetics, with which to do… Expand
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Reply to Comments on Neuroelectrodynamics: Where are the Real Conceptual Pitfalls?
  • D. Aur
  • Computer Science, Physics
  • ArXiv
  • 2012
The paper associates the general failure to build intelligent thinking machines with current reductionist principles of temporal coding and advocates for a change in paradigm regarding the brain analogy. Expand
A New Image Classification Architecture Inspired by Working Memory
  • Jiahui Shen, Ji Xiang, Nan Mu, Luyu Wang
  • Computer Science
  • 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
  • 2019
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A historical analysis of Rodney Brooks’ behaviour-based robotics approach and its impact on artificial intelligence and cognitive theory at the time, as well as on modern-day approaches to AI. Expand
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Dynamical system with plastic self-organized velocity field as an alternative conceptual model of a cognitive system
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Infrastructural intelligence: Contemporary entanglements between neuroscience and AI.
This chapter traces the development of Google's recent DeepMind algorithms back to their roots in neuroscientific studies of episodic memory and imagination, arguing that such (re)alignments of biological and artificial intelligence have been enabled by a paradigmatic infrastructuralization of the brain in contemporary neuroscience. Expand


On Computable Numbers, with an Application to the Entscheidungsproblem
1. Computing machines. 2. Definitions. Automatic machines. Computing machines. Circle and circle-free numbers. Computable sequences and numbers. 3. Examples of computing machines. 4. AbbreviatedExpand