Dominik Deffner
@dominikdeffner.bsky.social
Assistant Professor for Computational Modelling of Behaviour @unimarburg.bsky.social | (Social) decision-making and (cultural) evolution | Website: https://www.uni-marburg.de/en/fb04/team-deffner/deffner
Thanks so much to @ralfkurvers.bsky.social and @promanczuk.bsky.social, but especially to Valerii: www.scienceofintelligence.de/people/valer... 🙏
@arc-mpib.bsky.social @mpib-berlin.bsky.social @scioi.bsky.social @unimarburg.bsky.social @humboldtuni.bsky.social
@arc-mpib.bsky.social @mpib-berlin.bsky.social @scioi.bsky.social @unimarburg.bsky.social @humboldtuni.bsky.social
Valerii Chirkov - scienceofintelligence.de
Valerii Chirkov initially studied Clinical Psychology and then pursued a master's degree in Cognitive Neuroscience. Prior to joining SCIoI, Valerii worked as
www.scienceofintelligence.de
October 15, 2025 at 7:26 AM
Thanks so much to @ralfkurvers.bsky.social and @promanczuk.bsky.social, but especially to Valerii: www.scienceofintelligence.de/people/valer... 🙏
@arc-mpib.bsky.social @mpib-berlin.bsky.social @scioi.bsky.social @unimarburg.bsky.social @humboldtuni.bsky.social
@arc-mpib.bsky.social @mpib-berlin.bsky.social @scioi.bsky.social @unimarburg.bsky.social @humboldtuni.bsky.social
Finally, to prove our model insights could explain the observed dynamics, we developed an ABM reproducing key aspects of the behavioral data.
Simulations also provided generalizable insights beyond our experiment, revealing why collective intelligence can only emerge in certain environments.
Simulations also provided generalizable insights beyond our experiment, revealing why collective intelligence can only emerge in certain environments.
October 15, 2025 at 7:26 AM
Finally, to prove our model insights could explain the observed dynamics, we developed an ABM reproducing key aspects of the behavioral data.
Simulations also provided generalizable insights beyond our experiment, revealing why collective intelligence can only emerge in certain environments.
Simulations also provided generalizable insights beyond our experiment, revealing why collective intelligence can only emerge in certain environments.
We then used a comp model predicting movement decisions to test how private and social features guided participants' behavior.
Results confirmed that payoff information let participants selectively tune behavior to the position and direction of successful peers, unlocking collective intelligence!
Results confirmed that payoff information let participants selectively tune behavior to the position and direction of successful peers, unlocking collective intelligence!
October 15, 2025 at 7:26 AM
We then used a comp model predicting movement decisions to test how private and social features guided participants' behavior.
Results confirmed that payoff information let participants selectively tune behavior to the position and direction of successful peers, unlocking collective intelligence!
Results confirmed that payoff information let participants selectively tune behavior to the position and direction of successful peers, unlocking collective intelligence!
Using high-resolution time-series data of participants' visual information and movement trajectories, we found that payoff information boosted performance by allowing collectives to flexibly reorganize visibility networks over time and adaptively guide information flow between group members.
October 15, 2025 at 7:26 AM
Using high-resolution time-series data of participants' visual information and movement trajectories, we found that payoff information boosted performance by allowing collectives to flexibly reorganize visibility networks over time and adaptively guide information flow between group members.
Results show that sociality was a double-edged sword:
Groups could outperform solitary individuals through both superior tracking and search performance, but only when full payoff information was available.
In the absence of payoff information, they sometimes even performed worse!
Groups could outperform solitary individuals through both superior tracking and search performance, but only when full payoff information was available.
In the absence of payoff information, they sometimes even performed worse!
October 15, 2025 at 7:26 AM
Results show that sociality was a double-edged sword:
Groups could outperform solitary individuals through both superior tracking and search performance, but only when full payoff information was available.
In the absence of payoff information, they sometimes even performed worse!
Groups could outperform solitary individuals through both superior tracking and search performance, but only when full payoff information was available.
In the absence of payoff information, they sometimes even performed worse!
We challenged individuals with a spatially-explicit search-and-tracking task in an immersive 3D environment.
By manipulating task complexity and the availability of social cues, we study how individuals adapt their visual attention and social learning strategies to different dynamic contexts.
By manipulating task complexity and the availability of social cues, we study how individuals adapt their visual attention and social learning strategies to different dynamic contexts.
October 15, 2025 at 7:26 AM
We challenged individuals with a spatially-explicit search-and-tracking task in an immersive 3D environment.
By manipulating task complexity and the availability of social cues, we study how individuals adapt their visual attention and social learning strategies to different dynamic contexts.
By manipulating task complexity and the availability of social cues, we study how individuals adapt their visual attention and social learning strategies to different dynamic contexts.
Previous research (including my own) has predominantly studied these processes in simplified paradigms with unrealistic environments and predefined features!
Thus, it is largely unknown how collective intelligence can emerge in mobile human groups coping with dynamically changing environments.
Thus, it is largely unknown how collective intelligence can emerge in mobile human groups coping with dynamically changing environments.
October 15, 2025 at 7:26 AM
Previous research (including my own) has predominantly studied these processes in simplified paradigms with unrealistic environments and predefined features!
Thus, it is largely unknown how collective intelligence can emerge in mobile human groups coping with dynamically changing environments.
Thus, it is largely unknown how collective intelligence can emerge in mobile human groups coping with dynamically changing environments.