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Cephalopod Intelligence

2012· book-chapter· en· W4237182039 on OpenAlexaff
Jennifer A. Mather

Bibliographic record

VenueOxford University Press eBooks · 2012
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicCephalopods and Marine Biology
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsCephalopodCamouflageoctopus (software)CuttlefishArtificial intelligenceNeuroscienceBiologyAnatomyCommunicationComputer sciencePsychologyPaleontologyPhysics

Abstract

fetched live from OpenAlex

Abstract Cephalopod intelligence has similarities and differences from that of vertebrates. Both groups have paired lens-type eyes and a sophisticated vestibular system. Cephalopods have a lateral line mechano-reception system, like that of fish, and chemical sensing. The motor systems are quite different, as cephalopods have jet propulsion by the flexible mantle and lateral fins. For grasping, they have many sucker-equipped arms and two flexible tentacles. A hydrostatic skeletal system gives many degrees of freedom of arm movement, but its brain monitoring is unknown. Both groups have paired lateral brain lobes, and cephalopods have two storage areas for learned visual and chemotactile information. Cephalopods are solitary but can play, have personalities, and may have a simple form of consciousness. They have a unique visual skin display system for camouflage and communication with conspecifics. This offers an interesting comparison and contrast to vertebrates as a model for the development of intelligence.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0270.005

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 head0.032
GPT teacher head0.193
Teacher spread0.161 · 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 designNot applicable
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

Citations3
Published2012
Admission routes1
Has abstractyes

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Same venueOxford University Press eBooksSame topicCephalopods and Marine BiologyFrench-language works237,207