Natural Artificial Intelligence

Automating the development of novel signal processing and control systems through neuro-inspired free-energy minimizing agents

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Natural Artificial Intelligence

Automating the development of novel signal processing and control systems through neuro-inspired free-energy minimizing agents

Find out more

The goal of this project was to build an assistive tool that could help Football coaches to simulate the actions of an “optimally behaving” defensive team. We developed a cost function that optimizes both Pitch Control and Pass Interceptions for the defensive team.

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In order to assess the feasibility of active inference as a framework for synthetic agents in a real-world setting, we developed a ground-based robot that needs to learn to navigate to an undisclosed parking location. The robot can only learn where to park through situated interactions with a human observer who is aware of the target location.

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ForneyLab is a novel Julia package that allows the user to specify a probabilistic model as an FFG and pose inference problems on this FFG. ForneyLab is especially potent when applied to time-series data, where it attains comparable performance to Stan and Edward in significantly less computation time.

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More Projects

More Publications

The primary mission of the BIASlab team is to develop in-situ trainable Bayesian Intelligent Agents for applications to wearable technology.

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How do you solve a problem that is only vaguely described? We describe here an engineering approach that guides our research on solving vaguely defined problems such as hearing impairment.

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Bert de Vries

Professor, TU Eindhoven

Wouter Kouw

Assistant professor, TU Eindhoven

Thijs van de Laar

Assistant professor, TU Eindhoven

Ismail Senoz

Postdoctoral fellow, TU Eindhoven

Sepideh Adamiat

PhD candidate, TU Eindhoven

Tim Nisslbeck

PhD candidate, TU Eindhoven

Bart van Erp

PhD candidate - Teaching Assistant, TU Eindhoven

Chengfeng Jia

Guest PhD candidate, TU Eindhoven, WHUT

Dmitry V. Bagaev

PhD candidate, TU Eindhoven

Albert Podusenko

PhD candidate, TU Eindhoven

Hoang Minh Huu Nguyen

PhD candidate, TU Eindhoven

Magnus Tønder Koudahl

PhD Candidate, TU Eindhoven

Semih Akbayrak

PhD candidate, TU Eindhoven

Martin Roa Villescas

PhD candidate, TU Eindhoven

Patrick Wijnings

PhD candidate, TU Eindhoven

Joris Kraak

Senior Software Engineer, GN Hearing

Full team

Signal processing: develop a probabilistic model for acoustic source separation.

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Control systems: develop a controller to make a four-legged robot learn to walk.

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Software: develop a multi-core computation procedure for our toolbox ReactiveMP.jl

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All open projects

We gratefully acknowledge financial support from our sponsors:

NWO
GN Resound