Evidence map›Paper›PMID 29572721›Full record

ArticleBiological cybernetics2018

Planning and navigation as active inference.

Raphael Kaplan, Karl J Friston

Abstract read
In one paragraph

Article in Biological cybernetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

78 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Five Fristonian Formulae.Entropy (Basel, Switzerland) · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Exploration-exploitation model of moth-inspired olfactory navigation.Journal of the Royal Society, Interface · 2024
    Article
  17. Article
  18. Naturalistic reinforcement learning.Trends in cognitive sciences · 2024
    Review
  19. Article
  20. Bistable perception, precision and neuromodulation.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Article

18 more citing papers are in PubMed but not listed here.

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.

Raphael KaplanWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London (UCL), 12 Queen Square, London, WC1N 3BG, UK.
Karl J FristonWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London (UCL), 12 Queen Square, London, WC1N 3BG, UK. k.friston@ucl.ac.uk.ORCID 0000-0001-7984-8909

Funding

Wellcome TrustWellcome Trust 088130/Z/09/ZWellcome Trust 101261/Z/13/Z
6 · The paper itself

Abstract

This paper introduces an active inference formulation of planning and navigation. It illustrates how the exploitation-exploration dilemma is dissolved by acting to minimise uncertainty (i.e. expected surprise or free energy). We use simulations of a maze problem to illustrate how agents can solve quite complicated problems using context sensitive prior preferences to form subgoals. Our focus is on how epistemic behaviour-driven by novelty and the imperative to reduce uncertainty about the world-contextualises pragmatic or goal-directed behaviour. Using simulations, we illustrate the underlying process theory with synthetic behavioural and electrophysiological responses during exploration of a maze and subsequent navigation to a target location. An interesting phenomenon that emerged from the simulations was a putative distinction between 'place cells'-that fire when a subgoal is reached-and 'path cells'-that fire until a subgoal is reached.

Indexed as

GoalsMotivationSpatial NavigationAnimalsBayes TheoremBrainComputer SimulationHumansMaze LearningModels, BiologicalNeuronsActive inferenceBayesianCuriosityEpistemic valueExploitationExplorationFree energyNoveltySalience

Identifiers

PMID29572721
PMCPMC6060791

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.