Artificial enactive inference in three-dimensional world
The theory of Enactive Inference was proposed by Karl Friston and his colleagues to explain how the brain infers knowledge about the world through the subject’s interactive experiences. Sensorimotor states induce perturbations in neural activity, and the brain infers hypothetical causes in the world...
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| Published in: | Cognitive systems research Vol. 86; p. 101234 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01.08.2024
Elsevier |
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| ISSN: | 1389-0417, 1389-0417 |
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| Abstract | The theory of Enactive Inference was proposed by Karl Friston and his colleagues to explain how the brain infers knowledge about the world through the subject’s interactive experiences. Sensorimotor states induce perturbations in neural activity, and the brain infers hypothetical causes in the world that may explain these perturbations. This article aims to reconcile this neuroscience theory with computer science and artificial-intelligence theories wherein artificial agents receive input data derived from the environment’s state and infer internal data structures used to guide decisions. Two critical challenges arise in both the agent’s active role and the inference algorithm’s scalability as the environment’s complexity increases. To address these challenges, we formalize artificial enactive inference through a new Spatial Enactive Markov Decision Process (SEMDP) model. This model rests on low-level control loops enacted in a three-dimensional Euclidean space containing objects. Based on the SEMDP, we present a proof-of-concept cognitive architecture and an experiment to demonstrate the transcription of the theory of enactive inference into the domain of artificial intelligence and robotics. |
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| AbstractList | The theory of Enactive Inference was proposed by Karl Friston and his colleagues to explain how the brain infers knowledge about the world through the subject's interactive experiences. Sensorimotor states induce perturbations in neural activity, and the brain infers hypothetical causes in the world that may explain these perturbations. This article aims to reconcile this neuroscience theory with computer science and artificial-intelligence theories wherein artificial agents receive input data derived from the environment's state and infer internal data structures used to guide decisions. Two critical challenges arise in both the agent's active role and the inference algorithm's scalability as the environment's complexity increases. To address these challenges, we formalize artificial enactive inference through a new Spatial Enactive Markov Decision Process (SEMDP) model. This model rests on low-level control loops enacted in a three-dimensional Euclidean space containing objects. Based on the SEMDP, we present a proof-of-concept cognitive architecture and an experiment to demonstrate the transcription of the theory of enactive inference into the domain of artificial intelligence and robotics. |
| ArticleNumber | 101234 |
| Author | Georgeon, Olivier L. Lurie, David Robertson, Paul |
| Author_xml | – sequence: 1 givenname: Olivier L. surname: Georgeon fullname: Georgeon, Olivier L. email: ogeorgeon@univ-catholyon.fr organization: UR CONFLUENCE: Sciences et Humanites (EA 1598), UCLy, Lyon Catholic Universite, France – sequence: 2 givenname: David surname: Lurie fullname: Lurie, David organization: Paris-Dauphine University - PSL, NyxAir, France – sequence: 3 givenname: Paul surname: Robertson fullname: Robertson, Paul organization: DOLL Labs, Lexington, MA, USA |
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| Keywords | Enaction POMDPs Dynamic Bayesian Networks Constructivist learning Active inference Robotics constructivist learning robotics active inference |
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| References | Yu, Shang, Hu, Milford (b54) 2019; 113 Åström (b1) 1965; 10 O’Regan, Noë (b37) 2001; 24 Grieves, Jeffery (b26) 2017; 135 Hutto, Myin (b29) 2013 Gottlieb, Oudeyer (b25) 2018; 19 Poulter, Hartley, Lever (b42) 2018; 28 (pp. 102–107). Osoyoo (b38) 2022 Mordvintsev (b34) 2022 Lee, Rong, Hsu (b31) 2007; 20 Friston, Moran, Nagai, Taniguchi, Gomi, Tenenbaum (b15) 2021; 144 Robertson, P., & Laddaga, R. (2009). A biologically inspired spatial computer that learns to see and act. In Ben-Gal (b4) 2008; 1 Dagum, Luby (b10) 1993; 60 Hawkins, Lewis, Klukas, Purdy, Ahmad (b28) 2019; 12 Savelli, Knierim (b46) 2019; 222 Schneider, Albert, Ritter (b47) 2020; 1 Kaelbling, Littman, Cassandra (b30) 1998; 101 Gay, Mille, Georgeon, Dutech (b18) 2017; 41 Friston (b14) 2010; 11 Balakrishnan, K., Bhatt, R., & Honavar, V. (2022). A computational model of rodent spatial learning and some behavioral experiments. In San Francisco. Hansen (b27) 2021; 294 Tang, Shin, Jadhav (b50) 2021; 10 Dean, Kanazawa (b11) 1989; 5 Georgeon (b20) 2024 Gao, Shi, Fukuda, Li, Huang (b16) 2019; 332 Georgeon, Marshall, Gay (b21) 2012 Smallwood, Sondik (b48) 1973; 21 Varela, Thompson, Rosch (b52) 1993 Garg, Fischer, Milford (b17) 2021 Chatterjee, Saona, Ziliotto (b8) 2022; 47 Georgeon, Vidal, Knockaert, Robertson (b24) 2022; Vol. 192 Georgeon, Riegler (b23) 2019; 58 Georgeon, Marshall, Manzotti (b22) 2013; 6 Chatterjee, Chmelik, Tracol (b7) 2016; 82 Pearl (b40) 1988 Smith, Friston, Whyte (b49) 2022; 107 Fridman (b12) 2023 Thórisson (b51) 2021; Vol. 159 Madani, Hanks, Condon (b32) 1999 Ramstead, Kirchhoff, Friston (b43) 2020; 28 Yu, Zhai, Yuan, Wang (b55) 2019; 16 Behrens, Muller, Whittington, Mark, Baram, Stachenfeld (b3) 2018; 100 Murphy (b35) 1998 Rosinol, Violette, Abate, Hughes, Chang, Shi (b45) 2021; 40 Murphy (b36) 2002 Peng, Coumans, Zhang, Lee, Tan, Levine (b41) 2020 Friedman, Geiger, Goldszmidt (b13) 1997; 29 Cooper (b9) 1990; 42 Georgeon (b19) 2023 Papadimitriou, Tsitsiklis (b39) 1987; 12 Woolford, Egbert (b53) 2020 Buzsáki, Moser (b5) 2013; 16 Cassandra (b6) 1998; Vol. 1724 Maye, Engel (b33) 2013; 21 Georgeon (10.1016/j.cogsys.2024.101234_b24) 2022; Vol. 192 Cooper (10.1016/j.cogsys.2024.101234_b9) 1990; 42 Georgeon (10.1016/j.cogsys.2024.101234_b22) 2013; 6 Cassandra (10.1016/j.cogsys.2024.101234_b6) 1998; Vol. 1724 Hansen (10.1016/j.cogsys.2024.101234_b27) 2021; 294 Papadimitriou (10.1016/j.cogsys.2024.101234_b39) 1987; 12 Thórisson (10.1016/j.cogsys.2024.101234_b51) 2021; Vol. 159 Lee (10.1016/j.cogsys.2024.101234_b31) 2007; 20 Mordvintsev (10.1016/j.cogsys.2024.101234_b34) 2022 Madani (10.1016/j.cogsys.2024.101234_b32) 1999 Friedman (10.1016/j.cogsys.2024.101234_b13) 1997; 29 Woolford (10.1016/j.cogsys.2024.101234_b53) 2020 Tang (10.1016/j.cogsys.2024.101234_b50) 2021; 10 Yu (10.1016/j.cogsys.2024.101234_b55) 2019; 16 Grieves (10.1016/j.cogsys.2024.101234_b26) 2017; 135 Kaelbling (10.1016/j.cogsys.2024.101234_b30) 1998; 101 Rosinol (10.1016/j.cogsys.2024.101234_b45) 2021; 40 Friston (10.1016/j.cogsys.2024.101234_b14) 2010; 11 Gay (10.1016/j.cogsys.2024.101234_b18) 2017; 41 Chatterjee (10.1016/j.cogsys.2024.101234_b7) 2016; 82 Peng (10.1016/j.cogsys.2024.101234_b41) 2020 10.1016/j.cogsys.2024.101234_b2 Gao (10.1016/j.cogsys.2024.101234_b16) 2019; 332 Ramstead (10.1016/j.cogsys.2024.101234_b43) 2020; 28 Behrens (10.1016/j.cogsys.2024.101234_b3) 2018; 100 Friston (10.1016/j.cogsys.2024.101234_b15) 2021; 144 Garg (10.1016/j.cogsys.2024.101234_b17) 2021 10.1016/j.cogsys.2024.101234_b44 Murphy (10.1016/j.cogsys.2024.101234_b36) 2002 Dagum (10.1016/j.cogsys.2024.101234_b10) 1993; 60 Osoyoo (10.1016/j.cogsys.2024.101234_b38) 2022 Buzsáki (10.1016/j.cogsys.2024.101234_b5) 2013; 16 Maye (10.1016/j.cogsys.2024.101234_b33) 2013; 21 Pearl (10.1016/j.cogsys.2024.101234_b40) 1988 O’Regan (10.1016/j.cogsys.2024.101234_b37) 2001; 24 Georgeon (10.1016/j.cogsys.2024.101234_b19) 2023 Poulter (10.1016/j.cogsys.2024.101234_b42) 2018; 28 Smith (10.1016/j.cogsys.2024.101234_b49) 2022; 107 Fridman (10.1016/j.cogsys.2024.101234_b12) 2023 Ben-Gal (10.1016/j.cogsys.2024.101234_b4) 2008; 1 Georgeon (10.1016/j.cogsys.2024.101234_b21) 2012 Gottlieb (10.1016/j.cogsys.2024.101234_b25) 2018; 19 Smallwood (10.1016/j.cogsys.2024.101234_b48) 1973; 21 Georgeon (10.1016/j.cogsys.2024.101234_b23) 2019; 58 Yu (10.1016/j.cogsys.2024.101234_b54) 2019; 113 Hawkins (10.1016/j.cogsys.2024.101234_b28) 2019; 12 Savelli (10.1016/j.cogsys.2024.101234_b46) 2019; 222 Varela (10.1016/j.cogsys.2024.101234_b52) 1993 Murphy (10.1016/j.cogsys.2024.101234_b35) 1998 Hutto (10.1016/j.cogsys.2024.101234_b29) 2013 Åström (10.1016/j.cogsys.2024.101234_b1) 1965; 10 Schneider (10.1016/j.cogsys.2024.101234_b47) 2020; 1 Dean (10.1016/j.cogsys.2024.101234_b11) 1989; 5 Georgeon (10.1016/j.cogsys.2024.101234_b20) 2024 Chatterjee (10.1016/j.cogsys.2024.101234_b8) 2022; 47 |
| References_xml | – year: 2013 ident: b29 article-title: Radicalizing enactivism: Basic minds without content – volume: 41 start-page: 1 year: 2017 end-page: 35 ident: b18 article-title: Autonomous construction and exploitation of a spatial memory by a self-motivated agent publication-title: Cognitive Systems Research – volume: 19 start-page: 758 year: 2018 end-page: 770 ident: b25 article-title: Towards a neuroscience of active sampling and curiosity publication-title: Nature Reviews. Neuroscience – year: 2020 ident: b41 article-title: Learning agile robotic locomotion skills by imitating animals – volume: 58 start-page: 366 year: 2019 end-page: 374 ident: b23 article-title: CASH only: Constitutive autonomy through motorsensory self-programming publication-title: Cognitive Systems Research – volume: 24 start-page: 939 year: 2001 end-page: 973 ident: b37 article-title: A sensorimotor account of vision and visual consciousness publication-title: Behavioral and Brain Sciences – volume: 40 start-page: 1510 year: 2021 end-page: 1546 ident: b45 article-title: Kimera: From SLAM to spatial perception with 3D dynamic scene graphs publication-title: International Journal of Robotics Research – volume: 47 start-page: 100 year: 2022 end-page: 119 ident: b8 article-title: Finite-memory strategies in pomdps with long-run average objectives publication-title: Mathematics of Operations Research – year: 2022 ident: b34 article-title: Differentiable finite state machines – start-page: 771 year: 2020 end-page: 779 ident: b53 article-title: A precarious sensorimotor sequence reiterator for modelling enactive habits publication-title: ALIFE 2020: The 2020 conference on artificial life – reference: Robertson, P., & Laddaga, R. (2009). A biologically inspired spatial computer that learns to see and act. In – year: 2024 ident: b20 article-title: PetitCat project repository – year: 2002 ident: b36 article-title: Dynamic Bayesian networks: Representation, inference and learning – volume: 21 start-page: 1071 year: 1973 end-page: 1088 ident: b48 article-title: The optimal control of partially observable Markov processes over a finite horizon publication-title: Operations Research – year: 2021 ident: b17 article-title: Where is your place, visual place recognition? – volume: 1 start-page: 21 year: 2020 end-page: 34 ident: b47 article-title: Enabling cognitive behavior of humans, animals, and machines: A situation model framework publication-title: ZiF-Mitteilungen – volume: Vol. 192 start-page: 77 year: 2022 end-page: 88 ident: b24 article-title: Simultaneous localization and active phenomenon inference (SLAPI) publication-title: Proceedings of the third international workshop on self-supervised learning – volume: 20 year: 2007 ident: b31 article-title: What makes some POMDP problems easy to approximate? publication-title: Advances in Neural Information Processing Systems – volume: 12 start-page: 441 year: 1987 end-page: 450 ident: b39 article-title: The complexity of Markov decision processes publication-title: Mathematics of Operations Research – volume: 29 start-page: 131 year: 1997 end-page: 163 ident: b13 article-title: Bayesian network classifiers publication-title: Machine Learning – year: 2023 ident: b12 article-title: Joscha Bach: Life, intelligence, consciousness, AI & the future of humans – volume: 11 start-page: 127 year: 2010 end-page: 138 ident: b14 article-title: The free-energy principle: a unified brain theory? publication-title: Nature Reviews Neuroscience – start-page: 1 year: 2012 end-page: 2 ident: b21 article-title: Interactional motivation in artificial systems: Between extrinsic and intrinsic motivation publication-title: IEEE international conference on development and learning and epigenetic robotics (ICDL) – volume: 16 start-page: 130 year: 2013 end-page: 138 ident: b5 article-title: Memory, navigation and theta rhythm in the hippocampal-entorhinal system publication-title: Nature Neuroscience – volume: 60 start-page: 141 year: 1993 end-page: 153 ident: b10 article-title: Approximating probabilistic inference in Bayesian belief networks is NP-hard publication-title: Artificial Intelligence – reference: Balakrishnan, K., Bhatt, R., & Honavar, V. (2022). A computational model of rodent spatial learning and some behavioral experiments. In – volume: 82 start-page: 878 year: 2016 end-page: 911 ident: b7 article-title: What is decidable about partially observable Markov decision processes with publication-title: Journal of Computer and System Sciences – volume: 6 start-page: 46 year: 2013 end-page: 57 ident: b22 article-title: ECA: An enactivist cognitive architecture based on sensorimotor modeling publication-title: Biologically Inspired Cognitive Architectures – volume: 10 year: 2021 ident: b50 article-title: Multiple time-scales of decision-making in the hippocampus and prefrontal cortex publication-title: Elife – year: 1998 ident: b35 article-title: A brief introduction to graphical models and bayesian networks, 1998 – volume: 5 start-page: 142 year: 1989 end-page: 150 ident: b11 article-title: A model for reasoning about persistence and causation publication-title: Computational Intelligence – year: 1993 ident: b52 article-title: The embodied mind: cognitive science and human experience – volume: Vol. 1724 year: 1998 ident: b6 article-title: A survey of POMDP applications publication-title: Working notes of AAAI 1998 fall symposium on planning with partially observable Markov decision processes – volume: 144 start-page: 573 year: 2021 end-page: 590 ident: b15 article-title: World model learning and inference publication-title: Neural Networks – year: 2022 ident: b38 article-title: M2.0 metal chassis mecanum wheel robotic – volume: 42 start-page: 393 year: 1990 end-page: 405 ident: b9 article-title: The computational complexity of probabilistic inference using Bayesian belief networks publication-title: Artificial Intelligence – year: 2023 ident: b19 article-title: Robot exploring the arena – volume: 12 year: 2019 ident: b28 article-title: A framework for intelligence and cortical function based on grid cells in the neocortex publication-title: Frontiers in Neural Circuits – year: 1988 ident: b40 article-title: Probabilistic reasoning in intelligent systems : networks of plausible inference – volume: 135 start-page: 113 year: 2017 end-page: 131 ident: b26 article-title: The representation of space in the brain publication-title: Behavioural Processes – reference: . San Francisco. – volume: 1 year: 2008 ident: b4 article-title: Bayesian networks publication-title: Encyclopedia of Statistics in Quality and Reliability – volume: 113 start-page: 515 year: 2019 end-page: 545 ident: b54 article-title: NeuroSLAM: a brain-inspired SLAM system for 3D environments publication-title: Biological Cybernetics – volume: 107 year: 2022 ident: b49 article-title: A step-by-step tutorial on active inference and its application to empirical data publication-title: Journal of Mathematical Psychology – volume: 294 year: 2021 ident: b27 article-title: An integrated approach to solving influence diagrams and finite-horizon partially observable decision processes publication-title: Artificial Intelligence – volume: 16 start-page: 1640 year: 2019 end-page: 1652 ident: b55 article-title: A bionic robot navigation algorithm based on cognitive mechanism of hippocampus publication-title: IEEE Transactions on Automation Science and Engineering – volume: 100 start-page: 490 year: 2018 end-page: 509 ident: b3 article-title: What is a cognitive map? Organizing knowledge for flexible behavior publication-title: Neuron – reference: (pp. 102–107). – start-page: 541 year: 1999 end-page: 548 ident: b32 article-title: On the undecidability of probabilistic planning and infinite-horizon partially observable Markov decision problems publication-title: AAAI/IAAI – volume: 21 start-page: 423 year: 2013 end-page: 436 ident: b33 article-title: Extending sensorimotor contingency theory: prediction, planning, and action generation publication-title: Adaptive Behavior – volume: 28 start-page: R1023 year: 2018 end-page: R1042 ident: b42 article-title: The neurobiology of mammalian navigation publication-title: Current Biology – volume: Vol. 159 start-page: 5 year: 2021 end-page: 27 ident: b51 article-title: The ‘Explanation Hypothesis’ in general self-supervised Learning publication-title: Proceedings of the second international workshop on self-supervised learning – volume: 332 start-page: 339 year: 2019 end-page: 350 ident: b16 article-title: An overview of biomimetic robots with animal behaviors publication-title: Neurocomputing – volume: 10 start-page: 174 year: 1965 end-page: 205 ident: b1 article-title: Optimal control of Markov processes with incomplete state information publication-title: Journal of Mathematical Analysis and Applications – volume: 28 year: 2020 ident: b43 article-title: A tale of two densities: active inference is enactive inference publication-title: Adaptive Behavior – volume: 101 start-page: 99 year: 1998 end-page: 134 ident: b30 article-title: Planning and acting in partially observable stochastic domains publication-title: Artificial Intelligence – volume: 222 start-page: jeb188912 year: 2019 ident: b46 article-title: Origin and role of path integration in the cognitive representations of the hippocampus: computational insights into open questions publication-title: Journal of Experimental Biology – volume: 28 start-page: R1023 issue: 17 year: 2018 ident: 10.1016/j.cogsys.2024.101234_b42 article-title: The neurobiology of mammalian navigation publication-title: Current Biology doi: 10.1016/j.cub.2018.05.050 – year: 1993 ident: 10.1016/j.cogsys.2024.101234_b52 – start-page: 1 year: 2012 ident: 10.1016/j.cogsys.2024.101234_b21 article-title: Interactional motivation in artificial systems: Between extrinsic and intrinsic motivation – volume: 1 year: 2008 ident: 10.1016/j.cogsys.2024.101234_b4 article-title: Bayesian networks publication-title: Encyclopedia of Statistics in Quality and Reliability – volume: Vol. 1724 year: 1998 ident: 10.1016/j.cogsys.2024.101234_b6 article-title: A survey of POMDP applications – year: 2023 ident: 10.1016/j.cogsys.2024.101234_b19 – year: 2002 ident: 10.1016/j.cogsys.2024.101234_b36 – volume: 107 year: 2022 ident: 10.1016/j.cogsys.2024.101234_b49 article-title: A step-by-step tutorial on active inference and its application to empirical data publication-title: Journal of Mathematical Psychology doi: 10.1016/j.jmp.2021.102632 – year: 1988 ident: 10.1016/j.cogsys.2024.101234_b40 – year: 2021 ident: 10.1016/j.cogsys.2024.101234_b17 – volume: 6 start-page: 46 year: 2013 ident: 10.1016/j.cogsys.2024.101234_b22 article-title: ECA: An enactivist cognitive architecture based on sensorimotor modeling publication-title: Biologically Inspired Cognitive Architectures doi: 10.1016/j.bica.2013.05.006 – volume: 40 start-page: 1510 issue: 12–14 year: 2021 ident: 10.1016/j.cogsys.2024.101234_b45 article-title: Kimera: From SLAM to spatial perception with 3D dynamic scene graphs publication-title: International Journal of Robotics Research doi: 10.1177/02783649211056674 – year: 2013 ident: 10.1016/j.cogsys.2024.101234_b29 – year: 2024 ident: 10.1016/j.cogsys.2024.101234_b20 – volume: 41 start-page: 1 year: 2017 ident: 10.1016/j.cogsys.2024.101234_b18 article-title: Autonomous construction and exploitation of a spatial memory by a self-motivated agent publication-title: Cognitive Systems Research doi: 10.1016/j.cogsys.2016.07.004 – volume: 113 start-page: 515 year: 2019 ident: 10.1016/j.cogsys.2024.101234_b54 article-title: NeuroSLAM: a brain-inspired SLAM system for 3D environments publication-title: Biological Cybernetics doi: 10.1007/s00422-019-00806-9 – volume: 1 start-page: 21 year: 2020 ident: 10.1016/j.cogsys.2024.101234_b47 article-title: Enabling cognitive behavior of humans, animals, and machines: A situation model framework publication-title: ZiF-Mitteilungen – volume: 10 start-page: 174 issue: 1 year: 1965 ident: 10.1016/j.cogsys.2024.101234_b1 article-title: Optimal control of Markov processes with incomplete state information publication-title: Journal of Mathematical Analysis and Applications doi: 10.1016/0022-247X(65)90154-X – volume: 16 start-page: 130 issue: 2 year: 2013 ident: 10.1016/j.cogsys.2024.101234_b5 article-title: Memory, navigation and theta rhythm in the hippocampal-entorhinal system publication-title: Nature Neuroscience doi: 10.1038/nn.3304 – start-page: 541 year: 1999 ident: 10.1016/j.cogsys.2024.101234_b32 article-title: On the undecidability of probabilistic planning and infinite-horizon partially observable Markov decision problems – volume: 60 start-page: 141 issue: 1 year: 1993 ident: 10.1016/j.cogsys.2024.101234_b10 article-title: Approximating probabilistic inference in Bayesian belief networks is NP-hard publication-title: Artificial Intelligence doi: 10.1016/0004-3702(93)90036-B – volume: 100 start-page: 490 issue: 2 year: 2018 ident: 10.1016/j.cogsys.2024.101234_b3 article-title: What is a cognitive map? Organizing knowledge for flexible behavior publication-title: Neuron doi: 10.1016/j.neuron.2018.10.002 – volume: 29 start-page: 131 year: 1997 ident: 10.1016/j.cogsys.2024.101234_b13 article-title: Bayesian network classifiers publication-title: Machine Learning doi: 10.1023/A:1007465528199 – ident: 10.1016/j.cogsys.2024.101234_b2 doi: 10.4324/9781315782416-28 – year: 2022 ident: 10.1016/j.cogsys.2024.101234_b34 – year: 1998 ident: 10.1016/j.cogsys.2024.101234_b35 – volume: 12 start-page: 441 issue: 3 year: 1987 ident: 10.1016/j.cogsys.2024.101234_b39 article-title: The complexity of Markov decision processes publication-title: Mathematics of Operations Research doi: 10.1287/moor.12.3.441 – year: 2020 ident: 10.1016/j.cogsys.2024.101234_b41 – volume: 21 start-page: 423 issue: 6 year: 2013 ident: 10.1016/j.cogsys.2024.101234_b33 article-title: Extending sensorimotor contingency theory: prediction, planning, and action generation publication-title: Adaptive Behavior doi: 10.1177/1059712313497975 – start-page: 771 year: 2020 ident: 10.1016/j.cogsys.2024.101234_b53 article-title: A precarious sensorimotor sequence reiterator for modelling enactive habits – year: 2023 ident: 10.1016/j.cogsys.2024.101234_b12 – volume: 28 issue: 4 year: 2020 ident: 10.1016/j.cogsys.2024.101234_b43 article-title: A tale of two densities: active inference is enactive inference publication-title: Adaptive Behavior doi: 10.1177/1059712319862774 – volume: 12 year: 2019 ident: 10.1016/j.cogsys.2024.101234_b28 article-title: A framework for intelligence and cortical function based on grid cells in the neocortex publication-title: Frontiers in Neural Circuits doi: 10.3389/fncir.2018.00121 – volume: 42 start-page: 393 issue: 2–3 year: 1990 ident: 10.1016/j.cogsys.2024.101234_b9 article-title: The computational complexity of probabilistic inference using Bayesian belief networks publication-title: Artificial Intelligence doi: 10.1016/0004-3702(90)90060-D – volume: 19 start-page: 758 issue: 12 year: 2018 ident: 10.1016/j.cogsys.2024.101234_b25 article-title: Towards a neuroscience of active sampling and curiosity publication-title: Nature Reviews. Neuroscience doi: 10.1038/s41583-018-0078-0 – volume: 58 start-page: 366 year: 2019 ident: 10.1016/j.cogsys.2024.101234_b23 article-title: CASH only: Constitutive autonomy through motorsensory self-programming publication-title: Cognitive Systems Research doi: 10.1016/j.cogsys.2019.08.006 – volume: 24 start-page: 939 issue: 5 year: 2001 ident: 10.1016/j.cogsys.2024.101234_b37 article-title: A sensorimotor account of vision and visual consciousness publication-title: Behavioral and Brain Sciences doi: 10.1017/S0140525X01000115 – volume: 21 start-page: 1071 issue: 5 year: 1973 ident: 10.1016/j.cogsys.2024.101234_b48 article-title: The optimal control of partially observable Markov processes over a finite horizon publication-title: Operations Research doi: 10.1287/opre.21.5.1071 – volume: 294 year: 2021 ident: 10.1016/j.cogsys.2024.101234_b27 article-title: An integrated approach to solving influence diagrams and finite-horizon partially observable decision processes publication-title: Artificial Intelligence doi: 10.1016/j.artint.2020.103431 – volume: 16 start-page: 1640 issue: 4 year: 2019 ident: 10.1016/j.cogsys.2024.101234_b55 article-title: A bionic robot navigation algorithm based on cognitive mechanism of hippocampus publication-title: IEEE Transactions on Automation Science and Engineering doi: 10.1109/TASE.2019.2909638 – year: 2022 ident: 10.1016/j.cogsys.2024.101234_b38 – volume: 101 start-page: 99 issue: 1–2 year: 1998 ident: 10.1016/j.cogsys.2024.101234_b30 article-title: Planning and acting in partially observable stochastic domains publication-title: Artificial Intelligence doi: 10.1016/S0004-3702(98)00023-X – volume: Vol. 192 start-page: 77 year: 2022 ident: 10.1016/j.cogsys.2024.101234_b24 article-title: Simultaneous localization and active phenomenon inference (SLAPI) – volume: 20 year: 2007 ident: 10.1016/j.cogsys.2024.101234_b31 article-title: What makes some POMDP problems easy to approximate? publication-title: Advances in Neural Information Processing Systems – volume: 47 start-page: 100 issue: 1 year: 2022 ident: 10.1016/j.cogsys.2024.101234_b8 article-title: Finite-memory strategies in pomdps with long-run average objectives publication-title: Mathematics of Operations Research doi: 10.1287/moor.2020.1116 – ident: 10.1016/j.cogsys.2024.101234_b44 doi: 10.1109/SASOW.2010.79 – volume: 5 start-page: 142 issue: 2 year: 1989 ident: 10.1016/j.cogsys.2024.101234_b11 article-title: A model for reasoning about persistence and causation publication-title: Computational Intelligence doi: 10.1111/j.1467-8640.1989.tb00324.x – volume: 222 start-page: jeb188912 issue: Suppl. 1 year: 2019 ident: 10.1016/j.cogsys.2024.101234_b46 article-title: Origin and role of path integration in the cognitive representations of the hippocampus: computational insights into open questions publication-title: Journal of Experimental Biology doi: 10.1242/jeb.188912 – volume: 11 start-page: 127 issue: 2 year: 2010 ident: 10.1016/j.cogsys.2024.101234_b14 article-title: The free-energy principle: a unified brain theory? publication-title: Nature Reviews Neuroscience doi: 10.1038/nrn2787 – volume: 82 start-page: 878 issue: 5 year: 2016 ident: 10.1016/j.cogsys.2024.101234_b7 article-title: What is decidable about partially observable Markov decision processes with ω-regular objectives publication-title: Journal of Computer and System Sciences doi: 10.1016/j.jcss.2016.02.009 – volume: 144 start-page: 573 year: 2021 ident: 10.1016/j.cogsys.2024.101234_b15 article-title: World model learning and inference publication-title: Neural Networks doi: 10.1016/j.neunet.2021.09.011 – volume: 135 start-page: 113 year: 2017 ident: 10.1016/j.cogsys.2024.101234_b26 article-title: The representation of space in the brain publication-title: Behavioural Processes doi: 10.1016/j.beproc.2016.12.012 – volume: Vol. 159 start-page: 5 year: 2021 ident: 10.1016/j.cogsys.2024.101234_b51 article-title: The ‘Explanation Hypothesis’ in general self-supervised Learning – volume: 332 start-page: 339 year: 2019 ident: 10.1016/j.cogsys.2024.101234_b16 article-title: An overview of biomimetic robots with animal behaviors publication-title: Neurocomputing doi: 10.1016/j.neucom.2018.12.071 – volume: 10 year: 2021 ident: 10.1016/j.cogsys.2024.101234_b50 article-title: Multiple time-scales of decision-making in the hippocampus and prefrontal cortex publication-title: Elife doi: 10.7554/eLife.66227 |
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