Evidence map›Paper›PMID 40859729›Full record

ArticleJournal of the Royal Society, Interface2025

Evolution favours positively biased reasoning in sequential interactions with high future gains.

Marco Saponara, Elias Fernández Domingos, Jorge M Pacheco, Tom Lenaerts

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. 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
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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

4 authors.

Marco SaponaraMachine Learning Group, Université Libre de Bruxelles, Campus de la Plaine, Brussels, Belgium.ORCID 0009-0008-8092-6220
Elias Fernández DomingosMachine Learning Group, Université Libre de Bruxelles, Campus de la Plaine, Brussels, Belgium.ORCID 0000-0002-4717-7984
Jorge M PachecoINESC-ID, IST-Tagusparque, Porto Salvo, Portugal.ORCID 0000-0002-2579-8499
Tom LenaertsMachine Learning Group, Université Libre de Bruxelles, Campus de la Plaine, Brussels, Belgium.ORCID 0000-0003-3645-1455

Funding

Fonds De La Recherche Scientifique - FNRSFonds Wetenschappelijk OnderzoekService Public de Wallonie
6 · The paper itself

Abstract

Empirical evidence shows that human behaviour often deviates from game-theoretical rationality. For instance, humans may hold unrealistic expectations about future outcomes. As the evolutionary roots of such biases remain unclear, we investigate here how reasoning abilities and cognitive biases coevolve using the evolutionary game theory. In our model, individuals in a population deploy a variety of unbiased and biased level-[Formula: see text] reasoning strategies to anticipate others' behaviour in sequential interactions, represented by the incremental centipede game. Positively biased reasoning strategies have a systematic inference bias towards higher but uncertain rewards, while negatively biased strategies reflect the opposite tendency. We find that selection consistently favours positively biased reasoning, with rational behaviour even going extinct. This bias coevolves with bounded rationality, as the reasoning depth remains limited in the population. Interestingly, positively biased agents may coexist with non-reasoning agents, thus pointing to a novel equilibrium. Longer games further promote positively biased reasoning, as they can lead to higher future rewards. The biased reasoning strategies proposed in this model may reflect cognitive phenomena like wishful thinking and defensive pessimism. This work therefore supports the claim that certain cognitive biases, despite deviating from rational judgement, constitute an adaptive feature to better cope with social dilemmas.

Indexed as

Biological EvolutionCognitionGame TheoryThinkingHumanscognitive biasevolutionary game theorylevel-k thinkingmixed-motive gamessequential dilemmas

Identifiers

PMID40859729
PMCPMC12381588

What OpenQuestion holds

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Registered trials

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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.