Cited by 4,853Psychiatry, Mental Health, NeuroscienceReinforcement Learning in RoboticsAI-based Problem Solving and Planning

Intelligence without representation

Brooks, Rodney A.·1991·Artificial Intelligence

Integrity signals

Registry

Crossref · 10.1016/0004-3702(91)90053-m

Cites

12 of 12 references verified0 citation errors · 0 not checkable

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  • Behavior-based robotics emphasized action-perception coupling at the architectural level, showing that coherent behavior can emerge without centralized representations.

    “Behavior-based robotics (Brooks, 1991) emphasized this coupling at the architectural level, showing that coherent behavior can emerge without centralized representations precisely because perception and action are distributed across interacting sensorimotor routines, rather than separated into sequential stages.”

    From Toward Enactive Artificial Intelligence (2026) · cites this paper as Brooks, 1991

  • Many robotic systems still rely on modular architectures that separate perception, planning, and control, preserving a classical decomposition of cognitive functions.

    “Many robotic systems still rely on modular architectures that separate perception, planning, and control, preserving a classical decomposition of cognitive functions (Brooks, 1991; Clark, 1997).”

    From Toward Enactive Artificial Intelligence (2026) · cites this paper as Brooks, 1991

  • The Active Inference scheme for adaptive control connects well with hierarchical and layered robotic control architectures, where higher levels encode goal-directed controllers or schemas that contextualize lower-level reflex or habit-like control loops.

    “The Active Inference scheme for adaptive control connects well with hierarchical and layered robotic control architectures (Arbib, 1992, Brooks, 1991, Tani and Nolfi, 1999, Verschure et al., 2003), where higher levels encode goal-directed controllers or schemas that contextualize lower-level reflex or habit-like control loops.”
  • The hybrid model is a combination of reactive and deliberative paradigms, where a direct sense-act coupling exists but data can also be used by the planning module.

    “Finally, the hybrid model is a combination of both paradigms, where a direct sense-act coupling exists, but the data can also be used by the planning module.”

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Authors
Brooks, R. A.
Affiliations
Massachusetts Institute of Technology (US)
Corresponding author
Brooks, Rodney A.
Venue
Artificial Intelligence
Publisher
Elsevier BV
Published
1991-01
Volume
47
Issue
1-3
Pages
139-159
ISSN
0004-3702 (ISSN-L)
OpenAlex
W2397253692
Cited by
4,853
References
12
Citations by year
2026: 152 · 2025: 147 · 2024: 77 · 2023: 119 · 2022: 143 · 2021: 120 · 2020: 231 · 2019: 178 · 2018: 147 · 2017: 173 · 2016: 100 · 2015: 140 · 2014: 155 · 2013: 162 · 2012: 173
FWCI
73.99
Type
journal article
Language
en
Open access
closed
Locations
Artificial Intelligence (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
  • Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
Keywords
autonomous mobile robots, perception and action, decentralized control, office environment

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