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Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference

Frontiers in robotics and AI, 2024-07, Vol.11, p.1353870

Taniguchi, Tadahiro

2024

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Dynamics of language and cognition based on collective predictive coding: Towards a new generation of symbol emergence in robotics

Cognitive Studies: Bulletin of the Japanese Cognitive Science Society, 2024/03/01, Vol.31(1), pp.186-204

Taniguchi, Tadahiro

2024

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Improved and scalable online learning of spatial concepts and language models with mapping

Autonomous robots, 2020-07, Vol.44 (6), p.927-946

2020

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Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning

IEEE transactions on intelligent transportation systems, 2017-09, Vol.18 (9), p.2477-2489

2017

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Integration of imitation learning using GAIL and reinforcement learning using task-achievement rewards via probabilistic graphical model

Advanced robotics, 2020-08, Vol.34 (16), p.1055-1067

2020

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Explainable Artificial Intelligence Model for Diagnosis of Atrial Fibrillation Using Holter Electrocardiogram Waveforms

International Heart Journal, 2021/05/29, Vol.62(3), pp.534-539

2021

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A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots

Neural networks, 2022-06, Vol.150, p.293-312

2022

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Neuro-SERKET: Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models

New generation computing, 2020-03, Vol.38 (1), p.23-48

2020

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Multiagent multimodal categorization for symbol emergence: emergent communication via interpersonal cross-modal inference

Advanced robotics, 2022-03, Vol.36 (5-6), p.239-260

2022

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Semiotically adaptive cognition: toward the realization of remotely-operated service robots for the new normal symbiotic society

Advanced robotics, 2021-06, Vol.35 (11), p.664-674

2021

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Panacea: Visual exploration system for analyzing trends in annual recruitment using time-varying graphs

PloS one, 2021-03, Vol.16 (3), p.e0247587-e0247587

2021

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Hierarchical path planning from speech instructions with spatial concept-based topometric semantic mapping

Frontiers in robotics and AI, 2024-08, Vol.11, p.1291426

2024

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PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, p.5611-5618

2020

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Map completion from partial observation using the global structure of multiple environmental maps

Advanced robotics, 2022-03, Vol.36 (5-6), p.279-290

2022

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Hierarchical Bayesian model for the transfer of knowledge on spatial concepts based on multimodal information

Advanced robotics, 2022-01, Vol.36 (1-2), p.33-53

2022

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Recursive Metropolis-Hastings naming game: symbol emergence in a multi-agent system based on probabilistic generative models

Frontiers in artificial intelligence, 2023-10, Vol.6, p.1229127

2023

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Metropolis-Hastings algorithm in joint-attention naming game: experimental semiotics study

Frontiers in artificial intelligence, 2023-12, Vol.6, p.1235231-1235231

2023

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Unsupervised lexical acquisition of relative spatial concepts using spoken user utterances

Advanced robotics, 2022-01, Vol.36 (1-2), p.54-70

2022

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Toward evolutionary and developmental intelligence

Current opinion in behavioral sciences, 2019-10, Vol.29, p.91-96

2019

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Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder

Sensors (Basel, Switzerland), 2018-02, Vol.18 (2), p.608

2018

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SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model

Frontiers in neurorobotics, 2018-06, Vol.12, p.25-25

2018

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Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots

Frontiers in neurorobotics, 2017-12, Vol.11, p.66-66

2017

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Symbol Emergence as an Interpersonal Multimodal Categorization

Frontiers in robotics and AI, 2019-12, Vol.6, p.134-134

2019

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Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game

Frontiers in robotics and AI, 2024-01, Vol.10, p.1290604-1290604

2024

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Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning

IEEE open journal of signal processing, 2024, Vol.5, p.831-840

2024

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Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference

Dynamics of language and cognition based on collective predictive coding: Towards a new generation of symbol emergence in robotics

Improved and scalable online learning of spatial concepts and language models with mapping

Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning

Integration of imitation learning using GAIL and reinforcement learning using task-achievement rewards via probabilistic graphical model

Explainable Artificial Intelligence Model for Diagnosis of Atrial Fibrillation Using Holter Electrocardiogram Waveforms

A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots

Neuro-SERKET: Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models

Multiagent multimodal categorization for symbol emergence: emergent communication via interpersonal cross-modal inference

Semiotically adaptive cognition: toward the realization of remotely-operated service robots for the new normal symbiotic society

Panacea: Visual exploration system for analyzing trends in annual recruitment using time-varying graphs

Hierarchical path planning from speech instructions with spatial concept-based topometric semantic mapping

PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference

Map completion from partial observation using the global structure of multiple environmental maps

Hierarchical Bayesian model for the transfer of knowledge on spatial concepts based on multimodal information

Recursive Metropolis-Hastings naming game: symbol emergence in a multi-agent system based on probabilistic generative models

Metropolis-Hastings algorithm in joint-attention naming game: experimental semiotics study

Unsupervised lexical acquisition of relative spatial concepts using spoken user utterances

Toward evolutionary and developmental intelligence

Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder

SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model

Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots

Symbol Emergence as an Interpersonal Multimodal Categorization

Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game

Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning

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