[agents] Invitation to contribute to the special track "Sense & Sensibility: Modelling human deliberation and decision-making" on SSC2025

[loisv at cs.umu.se]

***Apologies for cross-posting.***

Dear colleagues,

If you are working with making more realistic models of human deliberation,
please consider submitting your work (long paper, short paper, extended
abstract, poster) to the special track “Sense & Sensibility: Modelling human
deliberation and decision-making” at the Social Simulation Conference 2025<
<https://ssc2025.tbm.tudelft.nl/> https://ssc2025.tbm.tudelft.nl/>, 25-29
September, Delft, the Netherlands.

Submission link: https://ssc2025.tbm.tudelft.nl/important-dates/

Deadline: 11th of April 2025

For details of the call, see below the signature.

This special track is supported by the
<https://sites.google.com/view/sig-mood/accueil> ESSA SIG MOOD (Models of
Human Decision).

Looking forward to receiving your contributions,
Loïs, Melania, Friederike, and Vivek.

Special track @ SSC2025: Sense & Sensibility: Modelling human deliberation
and decision-making

Track chairs:

 

ESSA SIG-MOOD -- Models of Human Decision

Track chairs: 

Loïs Vanhée, Umeå University, Sweden

Melania Borit, UiT the Arctic University of Norway, Norway

Vivek Nallur, University College Dublin, Ireland

Friederike Wall, University of Klagenfurt, Austria

 

Replicating human-like decisions is at the core of domains such as
agent-based modelling for social simulation, affective computing, or
intelligent virtual agents. To advance in this area, we need theories,
models, and methods for building agents / simulations that include authentic
and realistic features of human deliberation (e.g., coherence with
established psychological dynamics) while fitting within the constraints and
purposes set by simulation (e.g., scalability). 

 

The current prevalent approaches for modelling human decision-making mainly
revolve on simplified decision processes, hence often entailing limitations
for capturing the complex underlying psychological dynamics [1,2,3, 4] and
hence the reliability of subsequent conclusions. If we want to improve both
the range of phenomena we can cover and the realism of our agents /
simulations, we need to strengthen the anchoring of our models in the
decisional patterns identified by psychology, cognitive sciences, social
sciences, and humanities. Moreover, operational methods for producing such
models and enabling their integration within social simulations (e.g., added
conceptual and computational complexity, adequate validation,
explainability) remain to be established and are the subject of this track.

 

This track is open to all approaches seeking to introduce human-like realism
of deliberation / decision-making within agent design and/or social
simulation, which include but are not limited to:

*	theoretical papers introducing theoretical foundations from social
sciences, cognitive sciences, humanities etc. and explaining how they can be
integrated within agent design / social simulation;
*	modelling papers proposing and testing the suitability of social
sciences / cognitive sciences / humanities-inspired models in agent design /
social simulations;
*	methods & engineering papers introducing support for researchers and
designers about various methods (e.g., games, Cognitive Task Analysis) that
are relevant when deciding upon what data to collect and how, upon what and
how to implement and use human-like agent deliberation processes in
modelling practices;
*	survey papers reviewing models formerly produced in fields such as
social simulation, affective computing, games design, or intelligent virtual
agents, and identifying their strengths and weaknesses and pathways for
improvement; as well as overviews of psychology, philosophy, and sociology
research describing relevant theories, world-views, approaches, and
phenomena relevant for model production;
*	critique papers scrutinizing the designs and implementations of
human deliberation / decision-making from perspectives such as critical
theory, ethics, and impact; 
*	vision papers identifying areas in society and/or psychology where
social simulation could achieve high impact should a specific feature of
human deliberation / decision-making is available.

 

[1] Castelfranchi, C. (2001). The theory of social functions: challenges for
computational social science and multi-agent learning. Cognitive Systems
Research, 2(1), 5-38.

 

[2] Edmonds, B. (2012) .Context in social simulation: why it can’t be wished
away. Computational and Mathematical Organization Theory 18.1 (2012): 5-21.

 

[3] Vanhée, L., & Borit, M. (2023). Thirty years of sense and sensibility in
Agent-Based Models: A bibliometric analysis. In Conference of the European
Social Simulation Association (pp. 547-560). Cham: Springer Nature
Switzerland.

 

[4] Giardini, F., Borit, M., Verhagen, H., & Wijermans, N. (2023). Modeling
Realistic Human Behavior in Disasters. A Rapid Literature Review of
Agent-Based Models Reviews. In Conference of the European Social Simulation
Association (pp. 151-162). Cham: Springer Nature Switzerland.

 

-------------------------

Loïs Vanhée, Ph.D., Docent, Recognized teacher

Associate professor

Co-director of the  <https://www.umu.se/en/centre-for-transdisciplinary-ai/>
Centre for Transdisciplinary AI

Coordinator of the  <https://sites.google.com/view/taiga-socialai/home>
Social Artificial Intelligence Focus Area 

 
<https://www.umu.se/en/research/groups/responsible-artificial-intelligence/>
Responsible Artificial Intelligence team

 <https://www.umu.se/en/department-of-computing-science/> Department of
Computing Science

Umeå University

Umeå, Sweden

Web: <https://www.umu.se/en/staff/lois-vanhee/>
https://www.umu.se/en/staff/lois-vanhee/

 

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