• Corpus ID: 5104060

Living Together: Mind and Machine Intelligence

@article{Lawrence2017LivingTM,
  title={Living Together: Mind and Machine Intelligence},
  author={Neil D. Lawrence},
  journal={ArXiv},
  year={2017},
  volume={abs/1705.07996}
}
In this paper we consider the nature of the machine intelligences we have created in the context of our human intelligence. We suggest that the fundamental difference between human and machine intelligence comes down to \emph{embodiment factors}. We define embodiment factors as the ratio between an entity's ability to communicate information vs compute information. We speculate on the role of embodiment factors in driving our own intelligence and consciousness. We briefly review dual process… 

Figures and Tables from this paper

Metahuman systems = humans + machines that learn
TLDR
Improved understanding of metahuman systems will primarily come from learning-by-doing as information systems scholars try out new forms of hybrid learning in multiple settings to generate novel, generalizable, impactful designs.
Language (Re)modelling: Towards Embodied Language Understanding
TLDR
It is argued that the use of grounding by metaphoric reasoning and simulation will greatly benefit NLU systems, and a system architecture along with a roadmap towards realizing this vision is proposed.
Transparency: Motivations and Challenges
TLDR
This work highlights and review settings where transparency may cause harm, discussing connections across privacy, multi-agent game theory, economics, fairness and trust.
Challenges for Transparency
TLDR
This work highlights and review settings where transparency may cause harm, discussing connections across privacy, multi-agent game theory, economics, fairness and trust, and provides a brief survey.
Computation and Representation in Cognitive Translation Studies
  • M. Carl
  • Biology
    Explorations in Empirical Translation Process Research
  • 2021

References

SHOWING 1-10 OF 15 REFERENCES
The duality of mind: an historical perspective
[About the book] This book explores the idea that we have two minds - automatic, unconscious, and fast, the other controlled, conscious, and slow. In recent years there has been great interest in
Superintelligence: Paths, Dangers, Strategies
The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles
How to Grow a Mind: Statistics, Structure, and Abstraction
TLDR
This review describes recent approaches to reverse-engineering human learning and cognitive development and, in parallel, engineering more humanlike machine learning systems.
Neuroeconomics: Why Economics Needs Brains
Neuroeconomics uses knowledge about brain mechanisms to inform economic theory. It opens up the ‘‘black box’’ of the brain, much as organizational economics opened up the theory of the firm.
The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses
TLDR
Two cortical simulations -- at unprecedented scale -- that effectively saturate the entire memory capacity and refresh it at least every simulated second are reported, marking the dawn of a new era in the scale of cortical simulations.
The Human Connectome: A Structural Description of the Human Brain
TLDR
A research strategy to achieve the connection matrix of the human brain (the human “connectome”) is proposed, and its potential impact is discussed.
Note on Information Transfer Rates in Human Communication
TLDR
Information-transfer (IT) rates in bits/sec were estimated for a variety of methods of human communication and modalities of reception, providing examples of communication rates that have been achieved by humans in the area of language communication.
Mastering the game of Go with deep neural networks and tree search
TLDR
Using this search algorithm, the program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the human European Go champion by 5 games to 0.5, the first time that a computer program has defeated a human professional player in the full-sized game of Go.
Private traits and attributes are predictable from digital records of human behavior
We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual
FROM DIFFUSION MRI TO BRAIN CONNECTOMICS
TLDR
It is shown that right-handed men are massively interconnected between the left-hemisphere speech areas whereas the homologous in the right hemisphere are sparse; furthermore interhemispheric connections between the speech areas and their contralatera1 homologues are relatively strong.
...
...