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315 - Modeling Socio-Technical Systems

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Guests: Igor Nikolic Host: Markus Voelter Shownoter: Mario Winkler

Socio-technical systems are systems where (groups of) humans interact with (non-trivial) technical systems; an example is the power grid. The people, the technical system and the combination might easily lead to complex behavior that is hard to predict and control over the long term. However, as illustrated by, for example, the need to transition our energy infrastructure to a more sustainable structure, it is necessary for society to “control” such systems. Igor Nikolic is a professor at the TU Delft where he uses agent-based modeling approach to try to understand, and thus help control and evolve such systems. We discuss the systems, the challenges as well as the modeling approaches.

Introduction

00:02:45

Igor Nikolic TU Delft | Private website | Twitter | TU Delft, Department Multi-Actor Systems | Sociotechnical system | Complexity | Complexity | Sante Fe Institute Home | Sante Fe Institute Wikipedia | Cell Automata | Joshua M. Epstein | Anasazi model | Agent-based model | Swarm behaviour | Boids | Flocks, Herds, and Schools: A Distributed Behavioral Model by Craig Reynolds | Inverse problem | Emergence | Socio-technical systems | Thomas P. Hughes | Social technology | Path dependency | Path dependency | Nonholonomic system | Foucault pendulum | Evolution | Laryngeal nerve | Richard Dawkins video | Dunbar's number (Steve Jobs - Computers Are Bicycles For The Mind) | Stephen Hawking quote | Wicket problem | Market (economics) | Privatisation of British Rail | 34C3 Talk | Neoclassical economics | Grigore Roșu | K Framework

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347 episodes

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on June 01, 2024 15:29 (1M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 236093380 series 71279
Content provided by Markus Voelter and Nora Ludewig. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Markus Voelter and Nora Ludewig or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Guests: Igor Nikolic Host: Markus Voelter Shownoter: Mario Winkler

Socio-technical systems are systems where (groups of) humans interact with (non-trivial) technical systems; an example is the power grid. The people, the technical system and the combination might easily lead to complex behavior that is hard to predict and control over the long term. However, as illustrated by, for example, the need to transition our energy infrastructure to a more sustainable structure, it is necessary for society to “control” such systems. Igor Nikolic is a professor at the TU Delft where he uses agent-based modeling approach to try to understand, and thus help control and evolve such systems. We discuss the systems, the challenges as well as the modeling approaches.

Introduction

00:02:45

Igor Nikolic TU Delft | Private website | Twitter | TU Delft, Department Multi-Actor Systems | Sociotechnical system | Complexity | Complexity | Sante Fe Institute Home | Sante Fe Institute Wikipedia | Cell Automata | Joshua M. Epstein | Anasazi model | Agent-based model | Swarm behaviour | Boids | Flocks, Herds, and Schools: A Distributed Behavioral Model by Craig Reynolds | Inverse problem | Emergence | Socio-technical systems | Thomas P. Hughes | Social technology | Path dependency | Path dependency | Nonholonomic system | Foucault pendulum | Evolution | Laryngeal nerve | Richard Dawkins video | Dunbar's number (Steve Jobs - Computers Are Bicycles For The Mind) | Stephen Hawking quote | Wicket problem | Market (economics) | Privatisation of British Rail | 34C3 Talk | Neoclassical economics | Grigore Roșu | K Framework

  continue reading

347 episodes

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