Evidence map›Paper›PMID 29070723›Full record

ArticleProceedings. Biological sciences2017

Constructive anthropomorphism: a functional evolutionary approach to the study of human-like cognitive mechanisms in animals.

Michal Arbilly, Arnon Lotem

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Evolution of diverse (and advanced) cognitive abilities through adaptive fine-tuning of learning and chunking mechanisms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Anti-anthropomorphism and Its Limits.Frontiers in psychology · 2018
    Review
  7. Humans as model organisms.Proceedings. Biological sciences · 2017
    Article
  8. Humans as a model for understanding biological fundamentals.Proceedings. Biological sciences · 2017
    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.

Michal ArbillyDepartment of Biology, Emory University, Atlanta, GA 30022, USA michalarbilly@gmail.com.ORCID http://orcid.org/0000-0002-3227-882X
Arnon LotemDepartment of Zoology, Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 68878, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropomorphism, the attribution of human cognitive processes and emotional states to animals, is commonly viewed as non-scientific and potentially misleading. This is mainly because apparent similarity to humans can usually be explained by alternative, simpler mechanisms in animals, and because there is no explanatory power in analogies to human phenomena when these phenomena are not well understood. Yet, because it is also difficult to preclude real similarity and continuity in the evolution of humans' and animals' cognitive abilities, it may not be productive to completely ignore our understanding of human behaviour when thinking about animals. Here we propose that in applying a functional approach to the evolution of cognitive mechanisms, human cognition may be used to broaden our theoretical thinking and to generate testable hypotheses. Our goal is not to 'elevate' animals, but rather to find the minimal set of mechanistic principles that may explain 'advanced' cognitive abilities in humans, and consider under what conditions these mechanisms were likely to enhance fitness and to evolve in animals. We illustrate this approach, from relatively simple emotional states, to more advanced mechanisms, involved in planning and decision-making, episodic memory, metacognition, theory of mind, and consciousness.

Indexed as

Biological EvolutionCognitionDecision MakingEmotionsMemory, EpisodicAnimalsConsciousnessHumansMetacognitioncognitive evolutionemotionsempathyepisodic memorylanguage evolutionmetacognition

Identifiers

PMID29070723
PMCPMC5666099

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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.