Practopoiesis: or how life fosters a mind.

@article{Nikolic2015PractopoiesisOH,
  title={Practopoiesis: or how life fosters a mind.},
  author={Danko Nikolic},
  journal={Journal of theoretical biology},
  year={2015},
  volume={373},
  pages={
          40-61
        }
}
  • D. Nikolic
  • Published 20 February 2014
  • Biology
  • Journal of theoretical biology

Figures and Tables from this paper

Mind, Agency, and Biosemiotics

Development of artificial cognition, one of the major challenges of contemporary science, requires better understanding of the nature and function of mind. This paper follows the idea of Searle that

Only T3-AI can reach human-level intelligence: A variety argument

TLDR
It is concluded that the complexity of real life can be dealt with appropriately only by a T3-agent, and a traditional approach to artificial intelligence based on T2-agents is needed instead.

Why deep neural nets cannot ever match biological intelligence and what to do about it?

  • D. Nikolic
  • Computer Science
    Int. J. Autom. Comput.
  • 2017
TLDR
It is concluded that the complexity of real life can be dealt with appropriately only by a T3-agent, which means that the current approaches to artificial intelligence will not suffice with fixed network architectures and will need to be equipped with intelligent mechanisms that rapidly alter the architectures of those networks.

Where is the mind within the brain? Transient selection of subnetworks by metabotropic receptors and G protein-gated ion channels

TLDR
The mind emerges within the brain as the function of MRs and GPGICs whose primary function is to continually select the pathways over which neural activity will be allowed to pass.

Semantic mechanisms may be responsible for developing synesthesia

TLDR
The present analysis suggests that synesthesia develops during childhood and is being enriched further throughout the synesthetes’ lifetime; for example, the already existing concurrents may be adopted by novel inducers or new concurrents might be formed.

The Merit of Synesthesia for Consciousness Research

TLDR
It is proposed that the interplay between semantics and sensory input in synesthesia can be helpful for the study of the neural correlates of consciousness, especially when making use of ambiguous stimuli for inducing synesthesia.

The design of self-organizing human–swarm intelligence

TLDR
This article argues that a solution for human–swarm interaction should make the joint human-swarm loop an intelligent system that balances between centralized and decentralized control, and suggests the swarm-amplified human is suggested as a possible design that combines perspectives from swarm robotics, human-factors engineering and theoretical neuroscience to produce such a joint human–Swarm loop.

A Principle for Describing and Verifying Brain Mechanisms Using Ongoing Activity

Not even the most informed scientist can setup a theory that takes all brain signals into account. A neuron not only receives neuronal short range and long range input from all over the brain but a

Wave-Particle Duality and Quantity-Quality Complementarity in Natural and Human Sciences: Implications for Credition Research

As predicted by the American chemist, logician, and philosopher Charles Sander Peirce (1839–1914), there appears to be a set of simple concepts that applies to every subject. The Golden Ratio and the

References

SHOWING 1-10 OF 185 REFERENCES

Mind-brain interaction: Mentalism, yes; dualism, no

  • R. Sperry
  • Psychology, Philosophy
    Neuroscience
  • 1980

Claude Bernard, the first systems biologist, and the future of physiology

  • D. Noble
  • Biology
    Experimental physiology
  • 2008
TLDR
Some general principles that could form the basis of systems biology as a truly multilevel approach from a physiologist's standpoint are outlined and should form a major part of the future of physiology.

Self-Organization in the Nervous System

TLDR
Self-organizing maps generally perform a projection from a high-dimensional to a low-dimensional data space, and are role models in computational research, especially in the field of artificial neural networks.

Self‐organization in the developing nervous system: Theoretical models

TLDR
The developmental mechanisms that are involved in the formation of topographic maps are discussed, with an emphasis on the role of theoretical models in helping to understand these mechanisms.

Minds, brains, and programs

  • J. Searle
  • Philosophy
    Behavioral and Brain Sciences
  • 1980
TLDR
Only a machine could think, and only very special kinds of machines, namely brains and machines with internal causal powers equivalent to those of brains, and no program by itself is sufficient for thinking.

Global workspace theory of consciousness: toward a cognitive neuroscience of human experience.

  • B. Baars
  • Psychology, Biology
    Progress in brain research
  • 2005

Defining stress as a prelude to mapping its neurocircuitry: No help from allostasis

  • T. Day
  • Psychology
    Progress in Neuro-Psychopharmacology and Biological Psychiatry
  • 2005

Whatever next? Predictive brains, situated agents, and the future of cognitive science.

  • A. Clark
  • Biology
    The Behavioral and brain sciences
  • 2013
TLDR
This target article critically examines this "hierarchical prediction machine" approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action.

Memory and the hippocampus: a synthesis from findings with rats, monkeys, and humans.

  • L. Squire
  • Biology, Psychology
    Psychological review
  • 1992
TLDR
The role of the hippocampus is considered, which is needed temporarily to bind together distributed sites in neocortex that together represent a whole memory.
...