Evidence map›Paper›PMID 38059989›Full record

ArticleBiological cybernetics2023

Four attributes of intelligence, a thousand questions.

Matthieu Bardal, Eric Chalmers

Abstract readEditorial
PubMed Publisher
In one paragraph

Article in Biological cybernetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Matthieu BardalDepartment of Mathematics and Computing, Mount Royal University, 4825 Mt Royal Gate SW, Calgary, AB, T3E6K6, Canada.
Eric ChalmersDepartment of Mathematics and Computing, Mount Royal University, 4825 Mt Royal Gate SW, Calgary, AB, T3E6K6, Canada. echalmers@mtroyal.ca.

Funding

Mount Royal University N/A
6 · The paper itself

Abstract

Jeff Hawkins is one of those rare individuals who speaks the languages of both AI and neuroscience. In his recent book, "A Thousand Brains: A New Theory of Intelligence", Hawkins proposes that current learning algorithms lack four attributes which will be necessary for true machine intelligence. Here we demonstrate that a minimal learning system which satisfies all four points can be constructed using only simple, classical machine learning techniques. We illustrate that such a system falls short of biological intelligence in some important ways. We suggest that Hawkins' list is a useful model, but the "recipe" for true intelligence-if there is one-may not be so easily defined.

Indexed as

AlgorithmsArtificial IntelligenceBrainHumansIntelligenceMachine LearningArtificial intelligenceMachine intelligenceReinforcement learning

Identifiers

PMID38059989

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.