Active inference as a theory of sentient behavior

Biological Psychology, Journal Year: 2024, Volume and Issue: 186, P. 108741 - 108741

Published: Jan. 4, 2024

This review paper offers an overview of the history and future active inference—a unifying perspective on action perception. Active inference is based upon idea that sentient behavior depends our brains' implicit use internal models to predict, infer, direct action. Our focus conceptual roots development this theory (basic) sentience does not follow a rigid chronological narrative. We trace evolution from Helmholtzian ideas unconscious inference, through contemporary understanding In doing so, we touch related perspectives, neural underpinnings opportunities for development. Key steps in include formulation predictive coding theories neuronal message passing, sequential planning policy optimization, importance hierarchical (temporally) deep (i.e., generative or world) models. has been used account aspects anatomy neurophysiology, offer psychopathology terms aberrant precision control, unify extant psychological theories. anticipate further all these areas note exciting early work applying beyond neuroscience. suggests just biology, but robotics, machine learning, artificial intelligence.

Language: Английский

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World models and predictive coding for cognitive and developmental robotics: frontiers and challenges

Advanced Robotics, Journal Year: 2023, Volume and Issue: 37(13), P. 780 - 806

Published: June 26, 2023

Creating autonomous robots that can actively explore the environment, acquire knowledge and learn skills continuously is ultimate achievement envisioned in cognitive developmental robotics. Importantly, if aim to create develop through interactions with their learning processes should be based on physical social world manner of human development. Based this context, paper, we focus two concepts models predictive coding. Recently, have attracted renewed attention as a topic considerable interest artificial intelligence. Cognitive systems better predict future sensory observations optimize policies, i.e. controllers. Alternatively, neuroscience, coding proposes brain predicts its inputs adapts model own dynamics control behavior environment. Both ideas may considered underpinning development humans capable continual or lifelong learning. Although many studies been conducted robotics neurorobotics, relationship between model-based approaches AI has rarely discussed. Therefore, clarify definitions, relationships, status current research these topics, well missing pieces conjunction crucially related such free-energy principle active inference context Furthermore, outline frontiers challenges involved toward further integration robotics, creation real capabilities future.

Language: Английский

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‘Snakes and ladders’ in paleoanthropology: From cognitive surprise to skillfulness a million years ago

Physics of Life Reviews, Journal Year: 2024, Volume and Issue: 49, P. 40 - 70

Published: Jan. 21, 2024

A paradigmatic account may suffice to explain behavioral evolution in early Homo. We propose a parsimonious that (1) could particular, frequently-encountered, archeological outcome of behavior Homo — namely, the fashioning Paleolithic stone 'handaxe' from biological theoretic perspective informed by free energy principle (FEP); and (2) regards instances as postdictive or retrodictive, circumstantial corroboration. Our proposal considers humankind evolving self-organizing ecosystem at geological time-scale. offer narrative treatment this self-organization terms FEP. Specifically, we indicate how 'cognitive surprises' underwrite an propensity express sporadic unorthodox anomalous behavior. This co-evolutionary has left us legacy artifacts is reminiscent 'snakes ladders' board game appearances, disappearances, reappearances particular traces When detected Early Middle Pleistocene record, anthropologists archeologists often imagine evidence unusual novel ascending rungs figurative phylogenetic 'ladder' if these corresponded progressive cognitive abilities enabled incremental achievements increasingly innovative technical prowess, culminating ascendancy sapiens. The conjecture overlooks plausible likelihood individual who was atypical among her conspecifics have been disregarded community Hominina (for definition see Appendix 1) failed recognize, imagine, articulate potential advantages adopting hitherto Such failure, well diverse fortuitous demographic accidents, would cause exceptional personal be ignored hence unremembered. It disappear pitfall, down 'snake', it were, evolutionary game; thereby causing discontinuity human presents like puzzle. puzzle discomforts some paleoanthropologists trained natural life sciences. They dismiss it, explaining away with such self-justifying conjectures that, maybe, separate paleospecies differentially possessed different abilities, which, supposedly, for presence absence record skill. argue alternative inherits FEP individual's 'active inference' about its surroundings own responses affords prosaic, deflationary, way outcomes skills humankind.

Language: Английский

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Dynamic planning in hierarchical active inference

Neural Networks, Journal Year: 2025, Volume and Issue: 185, P. 107075 - 107075

Published: Jan. 8, 2025

By dynamic planning, we refer to the ability of human brain infer and impose motor trajectories related cognitive decisions. A recent paradigm, active inference, brings fundamental insights into adaptation biological organisms, constantly striving minimize prediction errors restrict themselves life-compatible states. Over past years, many studies have shown how animal behaviors could be explained in terms inference - either as discrete decision-making or continuous control inspiring innovative solutions robotics artificial intelligence. Still, literature lacks a comprehensive outlook on effectively planning realistic actions changing environments. Setting ourselves goal modeling complex tasks such tool use, delve topic keeping mind two crucial aspects behavior: capacity understand exploit affordances for object manipulation, learn hierarchical interactions between self environment, including other agents. We start from simple unit gradually describe more advanced structures, comparing recently proposed design choices providing basic examples. This study distances itself traditional views centered neural networks reinforcement learning, points toward yet unexplored direction inference: hybrid representations models.

Language: Английский

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Instruction-induced modulation of the visual stream during gesture observation.

Neuropsychologia, Journal Year: 2025, Volume and Issue: unknown, P. 109078 - 109078

Published: Jan. 1, 2025

Language: Английский

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Kinematic coding as a generative framework: Comment on "Kinematic coding: Measuring Information in Naturalistic Behaviour" by Becchio, Pullar, Scaliti, and Panzeri

Physics of Life Reviews, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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Relationships and representations of brain structures, connectivity, dynamics and functions

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal Year: 2025, Volume and Issue: unknown, P. 111332 - 111332

Published: March 1, 2025

Language: Английский

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An active inference account of stuttering behavior

Frontiers in Human Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: April 3, 2025

This paper presents an interpretation of stuttering behavior, based on the principles active inference framework. Stuttering is a neurodevelopmental disorder characterized by speech disfluencies such as repetitions, prolongations, and blocks. The inference, theory predictive processing sentient can be used to conceptualize disruption in perception-action cycling underlying production. proposed here posits that arises from aberrant sensory precision prediction error dynamics, inhibiting syllable initiation. Relevant this theory, two hypothesized mechanisms are proposed: (1) mistiming (2) excessive attentional focus. Both highlight role neural oscillations, error, hierarchical integration framework also explains contextual variability behaviors, including adaptation effects fluency-inducing conditions. Reframing synaptopathy integrates neurobiological, psychological, behavioral dimensions, suggesting disruptions precision-weighting mediated neuromodulatory systems. perspective provides unified account sets stage for innovative research therapeutic approaches.

Language: Английский

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Bayesian brain theory: Computational neuroscience of belief

Neuroscience, Journal Year: 2024, Volume and Issue: 566, P. 198 - 204

Published: Dec. 4, 2024

Language: Английский

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Physical reasoning is the missing link between action goals and kinematics

Physics of Life Reviews, Journal Year: 2023, Volume and Issue: 48, P. 198 - 200

Published: Sept. 1, 2023

Language: Английский

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