Cited by 329Philosophy and Theoretical ScienceEmbodied and Extended CognitionEvolutionary Psychology and Human Behavior

The DOI matches its Crossref record; 153 of the 181 references it cites were found in a registry or an index; 6 of the 68 sources its claims cite were checked for support.

The Interface Theory of Perception

Open access
Hoffman, Donald D., Singh, Manish, Prakash, Chetan·2015·Psychonomic Bulletin & Review

Abstract

Perception is a product of evolution. Our perceptual systems, like our limbs and livers, have been shaped by natural selection. The effects of selection on perception can be studied using evolutionary games and genetic algorithms. To this end, we define and classify perceptual strategies and allow them to compete in evolutionary games in a variety of worlds with a variety of fitness functions. We find that veridical perceptions--strategies tuned to the true structure of the world--are routinely dominated by nonveridical strategies tuned to fitness. Veridical perceptions escape extinction only if fitness varies monotonically with truth. Thus, a perceptual strategy favored by selection is best thought of not as a window on truth but as akin to a windows interface of a PC. Just as the color and shape of an icon for a text file do not entail that the text file itself has a color or shape, so also our perceptions of space-time and objects do not entail (by the Invention of Space-Time Theorem) that objective reality has the structure of space-time and objects. An interface serves to guide useful actions, not to resemble truth. Indeed, an interface hides the truth; for someone editing a paper or photo, seeing transistors and firmware is an irrelevant hindrance. For the perceptions of H. sapiens, space-time is the desktop and physical objects are the icons. Our perceptions of space-time and objects have been shaped by natural selection to hide the truth and guide adaptive behaviors. Perception is an adaptive interface.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

The paper argues that natural selection shapes perception toward fitness rather than truth, so veridical perception is not the default outcome of evolution. It supports this with evolutionary games, genetic algorithms, and formal models, concluding that perception is better understood as a species-specific interface that guides adaptive action.

Key findings

  • In evolutionary games, strict interface strategies tuned to payoffs usually drive naïve realist and critical realist strategies extinct; realists survive only when payoff varies monotonically with resource quantity.
  • In Mark’s genetic algorithm, after 500 generations robots evolved one of two payoff-tuned color strategies: squares with 0, 1, 9, or 10 cans seen as red and others green, or the reverse; a truth-tuned split would have been uninformative about payoff.
  • The formal Computational Evolutionary Perception framework separates the objective world \(W\) from representational spaces \(X\) and \(Y\), introduces perceptual channels and a fitness function, and models perception-decision-action loops rather than assuming \(X = W\).
  • The Invention of Symmetry Theorem and its space-time corollary show that an observer’s perceptual space can have rich, predictable structure—even Euclidean or space-time-like structure—without the objective world sharing those symmetries.

Methods

  • The authors define five classes of perceptual strategy: omniscient realist, naïve realist, critical realist, hybrid realist, and interface strategy, with formal measurable-space and Markovian-kernel definitions.
  • They use evolutionary game theory, including the replicator equation and Monte Carlo simulations, to model competition among perceptual strategies under different payoff functions and environments.
  • They also use genetic algorithms: Mitchell’s Robby simulation (12×12 grid, 200 robots, 1000 generations, 100 foraging runs of 200 actions) and Mark’s modification (up to 10 cans per square, two perceived colors, 2^11 = 2048 possible perceptual strategies, 500 generations).

Limitations

  • Stated: evolutionary games assume infinite populations and complete mixing; the authors say this could be an artifact but consider it unlikely, and they call for checks using finite populations and evolutionary graph theory.
  • Stated: natural selection yields satisficing, not optimal, solutions; the genetic algorithms use simplified, abstract worlds and fixed or limited perceptual spaces.
  • Evident from the text: the claims about human perception are extrapolated from simulations and formal arguments rather than direct empirical tests of human perceptual evolution; the paper also notes that some interface-theory predictions are counterintuitive and not yet falsified.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.3758/s13423-015-0890-8

Cites

153 of 153 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

166 Own interpretation · 43 No basis given · 17 No full text of the sources · 7 Sources not found · 6 Not checked yet · 5 Own result · 3 Partly supported · 2 Supported so far · 1 Supported · 1 Own method · accuracy not yet measured

Show all 135 claims

  • Probably not a substantial claim. 62
  • It may state two separate claims as one. 70
  • The quote only partly states this claim. 2
116 of 116
  • The paper relies on this without support.

    The simplified evolutionary games and genetic algorithms discussed in the paper adequately model the evolution of human perceptual strategies.

    “Studies of perceptual evolution using evolutionary games and genetic algorithms render a clear verdict: Natural selection discards veridical perceptions and promotes interface strategies tuned to fitness.This motivates the interface theory of perception, which we now discuss”
  • The authors state this as an assumption.

    The objective world W has a probability structure: a space of events and a probability measure on that space.

    “Specifically, we assume there is a space of events W on W, and a probability measure μ on this space.”
  • The paper relies on this without support.

    Natural selection generally produces satisficing rather than optimizing solutions.

    “We term such an observer ideal, because natural selection does not, in general, produce perceptual channels that maximize expected-fitness payout.It produces satisficing solutions, rather than optimizing solutions.”
  • The paper relies on this without support.

    What matters in evolution is fitness, not objective truth.

    “Clearly, what matters in evolution is fitness, not objective truth”
  • The paper relies on this without support.

    Human evolution was governed by the same laws as the evolution of other species.

    “After all, the evolution of Homo sapiens was governed by the same laws that govern the evolution of other species.”
  • The paper relies on this without support.

    There is an objective world W with states that exists independently of observers.

    “we have representational spaces (X, Y) and perceptual channels (P X , P Y ) from the world W to these representational spaces.”
    “the previous state w of the world is moved to a new state w′ denoted g.w.”
  • The authors state this as an assumption.

    Different observers' experiences of a shared object are similar enough to permit communication about that object.

    “we both assume that the experience of the other, although numerically distinct from our own experience, is nevertheless similar enough to permit communication.”
    “I assume that the Porsche on my screen is similar to the Porsche on yours, so that we can discuss genuinely and compete for the Porsche.”
  • The authors state this as an assumption.

    The headaches of other people are similar enough to one's own headaches to make communication possible.

    “we assume that the headaches of others are similar enough to our own to make communication possible.”
8 of 8

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

2 of 2

Citations

Cites

Research works printed but not linked: 10

  1. Bower, T. G. R. (1974). Development in infancy. San Francisco: Freeman Press.
  2. Fields, C. (2014). This boundary-less world. In D. Chopra (Ed.), Brain, mind, cosmos. La Costa, CA: Chopra. Chapter 13.
  3. Mark, J.T. (2013). Evolutionary pressures on perception: when does natural selection favor truth? Ph.D. Dissertation, University of California, Irvine.
  4. Marion, B.B. (2013). The impact of utility on the evolution of perceptions, Ph.D. Dissertation, University of California, Irvine.
  5. Marr, D. (1982). Vision. San Francisco: Freeman.
  6. Ramachandran, V. S. (1990). In C. Blakemore (Ed.), Interactions between motion, depth, color and form: The utilitarian theory of perception, in Vision: coding and efficiency. New York: Cambridge University Press.
  7. Revuz, D. (1984). Markov chains. Amsterdam: North-Holland.
  8. Trivers, R. L. (2011). The folly of fools. New York: Basic Books.
  9. von Uexküll, J. (1926). Theoretical biology. New York: Harcourt, Brace & Co.
  10. von Uexküll, J. (1957). A stroll through the worlds of animals and men: A picture book of invisible worlds, reprinted in Instinctive behavior: Development of a modern concept, C.H. Schiller. New York: Hallmark Press.

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Metadata

Authors
Hoffman, D. D., Singh, M., & Prakash, C.
Affiliations
  • University of California, Irvine (US)
  • Rutgers, The State University of New Jersey (US)
  • California State University, San Bernardino (US)
Corresponding author
Hoffman, Donald D.
Venue
Psychonomic Bulletin & Review
Published
2015-09-18
Volume
22
Issue
6
Pages
1480-1506
ISSN
  • 1069-9384 (ISSN-L)
  • 1531-5320
OpenAlex
W1766695457
Cited by
329
References
181
Citations by year
2026: 32 · 2025: 36 · 2024: 58 · 2023: 31 · 2022: 24 · 2021: 33 · 2020: 23 · 2019: 27 · 2018: 18 · 2017: 23 · 2016: 14 · 2015: 4
FWCI
11.05
Type
journal article
Language
en
Open access
Locations
  • Psychonomic Bulletin & Review (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation
  • Federico and Elvia Faggin Foundation
Topics
  • Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
Keywords
interface theory of perception, evolution of perception, perceptual strategies, veridical perception, evolutionary game theory, genetic algorithm, fitness function, natural selection, perception of space and time, object perception
MeSH terms
Cognition, Biological Evolution, Humans, Learning, Perception, Psychological Theory

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