[agents] Call for Papers for the Sense & Sensibility: Modelling human deliberation and decision-making special track at the Social Simulation Conference

[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 (16-20
September 2024, Cracow, Poland).

Submission link: <https://ssc2022.behavelab.org/submissions/>
https://ssc2024.uek.krakow.pl/call-for-submissions/

Deadline: 08th of May 2024

For details of the call, see below the signature.

This special track is supported by the ESSA SIG MOOD (Models of Human
Deliberation).

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

Special track @ SSC2024: Sense & Sensibility: Modelling human deliberation
and decision-making

Track chairs: 

Loïs Vanhée, Umeå University, Sweden

Melania Borit, UiT the Arctic University of Norway, Norway

Friederike Wall, University of Klagenfurt, Austria

Vivek Nallur, University College London, UK

Replicating human-like decisions is at the core of agent-based social
simulation. As such, we need data, theories, models, and methods for the
design and validation of agents that reproduce authentic and realistic
features of human deliberation (e.g. most deprived needs tend to yield to
the greater corrective action) while also accounting for the constraints and
aims of social simulations (e.g. covering specific social phenomena,
scalability to many agents).

The current prevailing approach to model human decision-making in social
simulation revolves around the random selection of behaviors from
data-driven probability distributions. While this approach has its benefits,
it can be blind to psychological dynamics that may be key to the accuracy of
the conclusions of the model (e.g. coherence of decisions over time)
[1,2,3]. If we want to expand the range of phenomena social simulation can
cover and the quality of our simulations and conclusions derived from them,
we need our models to be further anchored in the findings identified by
psychology and cognitive sciences. However, the questions of how to produce
such models and how to balance the specific considerations they entail (e.g.
time, collaborative effort, complexity, validation, social implications)
with simulation benefits (e.g. realism, explainability) remain open and are
the subject of this special track.

This track is open to all contributions dedicated to the study of agents
featuring human-like realistic deliberation within social simulation, which
include, but are not limited to:

*	theoretical papers importing insights from human sciences that can
be relevant for developing realistic human-like deliberation
*	modelling papers proposing and testing the suitability of
psychology/cognitive science-inspired models in social simulations
*	methods & engineering papers introducing approaches for validating
psychology/cognitive science-inspired agent models and for supporting
designers and users in deploying such models (e.g. design tradeoffs)
*	society-oriented papers detailing how the broader society relates to
simulations featuring realistic human-like deliberation, such as responses
of system users, narratives, ethical frameworks, critical theories, social
impact
*	structuring papers developing key concepts that are central for the
field, supporting the organization of related communities, and identifying
venues with high scientific and social prospects

The track welcomes any scientific methodology.

[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), 5-21.

[3] Jensen, M., Lorig, F., Vanhée, L., & Dignum, F. (2021) Deployment and
Effects of an App for Tracking and Tracing Contacts During the COVID-19
Crisis. In Social Simulation for a Crisis (pp. 167-188). Springer, Cham.

 

 

 

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

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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