Literature DB >> 33414712

Will We Ever Have Conscious Machines?

Patrick Krauss1,2, Andreas Maier3.   

Abstract

The question of whether artificial beings or machines could become self-aware or conscious has been a philosophical question for centuries. The main problem is that self-awareness cannot be observed from an outside perspective and the distinction of being really self-aware or merely a clever imitation cannot be answered without access to knowledge about the mechanism's inner workings. We investigate common machine learning approaches with respect to their potential ability to become self-aware. We realize that many important algorithmic steps toward machines with a core consciousness have already been taken.
Copyright © 2020 Krauss and Maier.

Entities:  

Keywords:  artificial intelligence; correlates of consciousness; deep learning; global workspace; machine consciousness; machine learning; philosophy of mind; theories of consciousness

Year:  2020        PMID: 33414712      PMCID: PMC7782472          DOI: 10.3389/fncom.2020.556544

Source DB:  PubMed          Journal:  Front Comput Neurosci        ISSN: 1662-5188            Impact factor:   2.380


  74 in total

Review 1.  Computational correlates of consciousness.

Authors:  Axel Cleeremans
Journal:  Prog Brain Res       Date:  2005       Impact factor: 2.453

Review 2.  Forty-five years of split-brain research and still going strong.

Authors:  Michael S Gazzaniga
Journal:  Nat Rev Neurosci       Date:  2005-08       Impact factor: 34.870

3.  A neuronal model of a global workspace in effortful cognitive tasks.

Authors:  S Dehaene; M Kerszberg; J P Changeux
Journal:  Proc Natl Acad Sci U S A       Date:  1998-11-24       Impact factor: 11.205

Review 4.  How to grow a mind: statistics, structure, and abstraction.

Authors:  Joshua B Tenenbaum; Charles Kemp; Thomas L Griffiths; Noah D Goodman
Journal:  Science       Date:  2011-03-11       Impact factor: 47.728

5.  Visual capacity in the hemianopic field following a restricted occipital ablation.

Authors:  L Weiskrantz; E K Warrington; M D Sanders; J Marshall
Journal:  Brain       Date:  1974-12       Impact factor: 13.501

Review 6.  What is consciousness, and could machines have it?

Authors:  Stanislas Dehaene; Hakwan Lau; Sid Kouider
Journal:  Science       Date:  2017-10-27       Impact factor: 47.728

Review 7.  Synchronization of cortical activity and its putative role in information processing and learning.

Authors:  W Singer
Journal:  Annu Rev Physiol       Date:  1993       Impact factor: 19.318

8.  Learning with Known Operators reduces Maximum Training Error Bounds.

Authors:  Andreas K Maier; Christopher Syben; Bernhard Stimpel; Tobias Würfl; Mathis Hoffmann; Frank Schebesch; Weilin Fu; Leonid Mill; Lasse Kling; Silke Christiansen
Journal:  Nat Mach Intell       Date:  2019-08-09

9.  Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.

Authors:  Radoslaw Martin Cichy; Aditya Khosla; Dimitrios Pantazis; Antonio Torralba; Aude Oliva
Journal:  Sci Rep       Date:  2016-06-10       Impact factor: 4.379

Review 10.  Computational Foundations of Natural Intelligence.

Authors:  Marcel van Gerven
Journal:  Front Comput Neurosci       Date:  2017-12-07       Impact factor: 2.380

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  2 in total

1.  Intrinsic Noise Improves Speech Recognition in a Computational Model of the Auditory Pathway.

Authors:  Achim Schilling; Richard Gerum; Claus Metzner; Andreas Maier; Patrick Krauss
Journal:  Front Neurosci       Date:  2022-06-08       Impact factor: 5.152

Review 2.  Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence.

Authors:  Jurgita Černevičienė; Audrius Kabašinskas
Journal:  Front Artif Intell       Date:  2022-03-10
  2 in total

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