Active Inference
portes grátis
Active Inference
5th International Workshop, IWAI 2024, Oxford, UK, September 9-11, 2024, Revised Selected Papers
Lanillos, Pablo; Sajid, Noor; Pitliya, Riddhi J.; Buckley, Christopher L.; Cialfi, Daniela; Verbelen, Tim; Wisse, Martijn; Shimazaki, Hideaki
Springer International Publishing AG
01/2025
271
Mole
9783031771378
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- Modeling behaviour and emotions.
.- Towards Interaction Design with Active Inference: A Case Study on Noisy Ordinal Selection.
.- Modelling Agency Perception in Depression Using Active Inference: A Multi-Agent Behavioural Study.
.- Free Energy in a Circumplex Model of Emotions.
.- Hybrid continuous-discrete systems.
.- Learning in Hybrid Active Inference Models.
.- Learning and embodied decisions in active inference.
.- Structure learning.
.- Online Structure Learning with Dirichlet Processes through Message Passing.
.- Exploring and Learning Structure: Active Inference Approach in Navigational Agents.
.- Multi-agent systems.
.- Belief sharing: a blessing or a curse.
.- Coupled autoregressive active inference agents for control of multi-joint dynamical systems.
.- Reactive Environments for Active Inference Agents with RxEnvironments.
.- Epistemic sampling.
.- Selection of Exploratory or Goal-Directed Behavior by a Physical Robot Implementing Deep Active Inference.
.- Epistemic Value Anticipation into the Deep Active Inference Model.
.- Robot control.
.- Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents.
.- Message Passing-based Bayesian Control of a Cart-Pole System.
.- Reducing Intuitive-Physics Prediction Error through Playing.
.- Sustainability and contextuality.
.- Modeling Sustainability under Active Inference through resource management.
.- Contextuality, Cognitive engagement, and Active Inference.
.- Towards Interaction Design with Active Inference: A Case Study on Noisy Ordinal Selection.
.- Modelling Agency Perception in Depression Using Active Inference: A Multi-Agent Behavioural Study.
.- Free Energy in a Circumplex Model of Emotions.
.- Hybrid continuous-discrete systems.
.- Learning in Hybrid Active Inference Models.
.- Learning and embodied decisions in active inference.
.- Structure learning.
.- Online Structure Learning with Dirichlet Processes through Message Passing.
.- Exploring and Learning Structure: Active Inference Approach in Navigational Agents.
.- Multi-agent systems.
.- Belief sharing: a blessing or a curse.
.- Coupled autoregressive active inference agents for control of multi-joint dynamical systems.
.- Reactive Environments for Active Inference Agents with RxEnvironments.
.- Epistemic sampling.
.- Selection of Exploratory or Goal-Directed Behavior by a Physical Robot Implementing Deep Active Inference.
.- Epistemic Value Anticipation into the Deep Active Inference Model.
.- Robot control.
.- Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents.
.- Message Passing-based Bayesian Control of a Cart-Pole System.
.- Reducing Intuitive-Physics Prediction Error through Playing.
.- Sustainability and contextuality.
.- Modeling Sustainability under Active Inference through resource management.
.- Contextuality, Cognitive engagement, and Active Inference.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Active inference;Free energy principle;Computational neuroscience;Machine learning;Robotics
.- Modeling behaviour and emotions.
.- Towards Interaction Design with Active Inference: A Case Study on Noisy Ordinal Selection.
.- Modelling Agency Perception in Depression Using Active Inference: A Multi-Agent Behavioural Study.
.- Free Energy in a Circumplex Model of Emotions.
.- Hybrid continuous-discrete systems.
.- Learning in Hybrid Active Inference Models.
.- Learning and embodied decisions in active inference.
.- Structure learning.
.- Online Structure Learning with Dirichlet Processes through Message Passing.
.- Exploring and Learning Structure: Active Inference Approach in Navigational Agents.
.- Multi-agent systems.
.- Belief sharing: a blessing or a curse.
.- Coupled autoregressive active inference agents for control of multi-joint dynamical systems.
.- Reactive Environments for Active Inference Agents with RxEnvironments.
.- Epistemic sampling.
.- Selection of Exploratory or Goal-Directed Behavior by a Physical Robot Implementing Deep Active Inference.
.- Epistemic Value Anticipation into the Deep Active Inference Model.
.- Robot control.
.- Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents.
.- Message Passing-based Bayesian Control of a Cart-Pole System.
.- Reducing Intuitive-Physics Prediction Error through Playing.
.- Sustainability and contextuality.
.- Modeling Sustainability under Active Inference through resource management.
.- Contextuality, Cognitive engagement, and Active Inference.
.- Towards Interaction Design with Active Inference: A Case Study on Noisy Ordinal Selection.
.- Modelling Agency Perception in Depression Using Active Inference: A Multi-Agent Behavioural Study.
.- Free Energy in a Circumplex Model of Emotions.
.- Hybrid continuous-discrete systems.
.- Learning in Hybrid Active Inference Models.
.- Learning and embodied decisions in active inference.
.- Structure learning.
.- Online Structure Learning with Dirichlet Processes through Message Passing.
.- Exploring and Learning Structure: Active Inference Approach in Navigational Agents.
.- Multi-agent systems.
.- Belief sharing: a blessing or a curse.
.- Coupled autoregressive active inference agents for control of multi-joint dynamical systems.
.- Reactive Environments for Active Inference Agents with RxEnvironments.
.- Epistemic sampling.
.- Selection of Exploratory or Goal-Directed Behavior by a Physical Robot Implementing Deep Active Inference.
.- Epistemic Value Anticipation into the Deep Active Inference Model.
.- Robot control.
.- Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents.
.- Message Passing-based Bayesian Control of a Cart-Pole System.
.- Reducing Intuitive-Physics Prediction Error through Playing.
.- Sustainability and contextuality.
.- Modeling Sustainability under Active Inference through resource management.
.- Contextuality, Cognitive engagement, and Active Inference.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
