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Artificial Intelligence and brain.

Paul Shapshak1

  • 1Division of Infectious Diseases and International Health, Department of Internal Medicine, University of South Florida, Morsani College of Medicine, Tampa, FL 33606, USA.

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|March 3, 2018
PubMed
Summary
This summary is machine-generated.

Artificial Intelligence (AI) research, though advanced, misunderstands Kurt Godel's theorems, as the brain transcends computers. A proposed

Keywords:
Artificial Intelligence (AI)Godelawarenessbiomedicinebrainco-robotics (cobots)cognitioncognitive architecturecognitive sciencecomputerconsciousnessdeep learningdevelopmentecosystemevent schematafiber bundlegamesgene expressionhall of mirror neuronslanguage groundingmachinemanifoldmirror neuronneuron colonyneuron groupneuron manifoldneuropsychiatric diseaseneuroscienceparadigm shiftquantum computersresearchroboticsself-motivated behaviorshadow neuronsymbol groundingtopology

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Area of Science:

  • Neuroscience and Artificial Intelligence (AI)

Background:

  • Kurt Godel observed that computer and brain paradigms were incorrectly equated by researchers.
  • Researchers have misunderstood Godel's theorems regarding the relationship between computation and cognition.
  • The brain's complexity and capabilities are argued to transcend current computer paradigms.

Purpose of the Study:

  • To highlight that Artificial Intelligence (AI) encompasses diverse human-made systems and methodologies.
  • To propose a new research tactic: the 'hall of mirror neurons' paradigm.
  • To expand research in both AI and neuroscience by integrating these concepts.

Main Methods:

  • Review of existing AI methodologies and their implementation with computer technology.
  • Examination of biological neural function, including electron flow and evolutionary aspects.
  • Introduction of the 'hall of mirror neurons' as a novel conceptual framework.

Main Results:

  • AI advances are enhancing development in electron and quantum realms.
  • Animal neurons, products of evolution, function via electron flow.
  • Mirror neurons represent a significant paradigm in neuroscience.

Conclusions:

  • The 'hall of mirror neurons' offers a potentially productive research avenue.
  • Further research integrating AI and neuroscience, particularly mirror neuron systems, is warranted.
  • Understanding the brain's transcendence over computers requires novel conceptual shifts.