Evidence map›Paper›PMID 41451733›Full record

ReviewBiological reviews of the Cambridge Philosophical Society2026

Continual decision-making dynamics across biological organisms.

Liberty Severs, Qiuran Wang

Abstract readReview
In one paragraph

Review in Biological reviews of the Cambridge Philosophical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Liberty Severs *Faculty of Sciences, University of Lisbon, Campo Grande 016, 1749-016, Lisboa, Portugal.
Qiuran Wang *Institute for Philosophy II, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany.ORCID 0000-0002-1469-7983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decision-making is a central function of adaptive behaviour in biological agents. However, strategies for adaptive decision-making can vary substantially across species. Here, we aim to extend the comparative scope of decision-making analyses to phylogenetically diverse organisms. To do so, we introduce the Continual Decision Making Dynamics (CDMD) framework, which characterises decision-making as a temporally extended, history-sensitive process that is sustained by self-organising and self-regulating interactions. Drawing on empirical examples, we demonstrate how CDMD can accommodate the organisation of control architectures that support more distributed and decentralised modes of decision-making, and facilitate a comparative approach to decision-making strategies across phylogenetic and organisational scales. We discuss how our model can be situated among other related approaches to decision-making, capturing a distinctive subset of decision strategies that can be modelled in the absence of explicit representational structures. Our framework contributes to integrative approaches that bridge biological complexity and cognitive modelling, and highlights how regulatory control and organisational constraints shape decision-making dynamics across a broader range of biological systems.

Indexed as

Decision MakingAnimalsModels, Biologicaladaptive behaviourbiological organisationdecentralised systemdecision‐makingdistributed cognitionnon‐neural cognitionslime mould

Identifiers

PMID41451733
PMCPMC13149794

What Socratic 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 Socratic graph.