Evidence map›Paper›PMID 37737280›Full record

ArticleScientific reports2023

Measuring ancient technological complexity and its cognitive implications using Petri nets.

Sebastian Fajardo, Paul R B Kozowyk, Geeske H J Langejans

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Sebastian FajardoDepartment of Materials Science and Engineering, Delft University of Technology, 2628 CD, Delft, Zuid-Holland, The Netherlands. s.d.fajardobernal@tudelft.nl.
Paul R B KozowykDepartment of Materials Science and Engineering, Delft University of Technology, 2628 CD, Delft, Zuid-Holland, The Netherlands.
Geeske H J LangejansDepartment of Materials Science and Engineering, Delft University of Technology, 2628 CD, Delft, Zuid-Holland, The Netherlands.
Delft University of Technology · NLUniversity of Johannesburg · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We implement a method from computer sciences to address a challenge in Paleolithic archaeology: how to infer cognition differences from material culture. Archaeological material culture is linked to cognition, and more complex ancient technologies are assumed to have required complex cognition. We present an application of Petri net analysis to compare Neanderthal tar production technologies and tie the results to cognitive requirements. We applied three complexity metrics, each relying on their own unique definitions of complexity, to the modeled production processes. Based on the results, we propose that Neanderthal technical cognition may have been analogous to that of contemporary modern humans. This method also enables us to distinguish the high-order cognitive functions combining traits like planning, inhibitory control, and learning that were likely required by different ancient technological processes. The Petri net approach can contribute to our understanding of technology and cognitive evolution as it can be used on different materials and technologies, across time and species.

Indexed as

NeanderthalsAnimalsArchaeologyBenchmarkingCognitionHumansReceptor Protein-Tyrosine KinasesTechnologyReceptor Protein-Tyrosine Kinases

Identifiers

PMID37737280
PMCPMC10516984
OpenAlexW4386944301

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.