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Record W3109678949 · doi:10.5539/ijb.v12n4p1

Ants’ Acquisition of A Symbol for Zero and Its Use to Add

2020· article· en· W3109678949 on OpenAlexvenueno aff
Marie‐Claire Cammaerts, Roger Cammaerts

Bibliographic record

VenueInternational Journal of Biology · 2020
Typearticle
Languageen
FieldMathematics
TopicCognitive and developmental aspects of mathematical skills
Canadian institutionsnot available
Fundersnot available
KeywordsZero (linguistics)Symbol (formal)Computer scienceArithmeticCommunicationArtificial intelligenceMathematicsPsychologyLinguisticsProgramming languagePhilosophy

Abstract

fetched live from OpenAlex

It has been previously shown that workers of the ant Myrmica sabuleti can add up numbers of elements when seeing the result of the operation during training, can acquire multiple numerical symbolisms and can make additions using learned numeric symbols. They have also been shown to acquire the notion of zero through experiences. Here, we examined if these ants can associate a symbol with zero and can use this symbol to add. Working on four colonies, we found that the ants acquired a numerical symbolism for zero, and that they used this acquisition for making the additions 1 + 0, 2 + 0, 3 + 0, 4 + 0. This ability simply resulted from operative conditioning and from the ants’ capability in adding up two amounts sighted side by side. The latter imperative condition shows that ants’ numerical cognitive faculties are at a lower level than that observed in honeybees, in some birds and monkeys.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.071
GPT teacher head0.356
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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