[agents] Workshop on Technical and non-technical aspects of modelling human decisions (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
or part of the SIG-MOOD <https://sites.google.com/view/sig-mood/accueil>
(Models of Human Decision) and look forward to joining in the Social
Simulation conference, please consider marking the date for the following
workshop
https://ssc2024.uek.krakow.pl/technical-and-non-technical-aspects-of-modelli
ng-human-decisions/

Workshop: Technical and non-technical aspects of modelling human decisions

Date: Monday the 16th of September 2024

Duration: 120 minutes

Place: SSC 2024

Organized by: ESSA SIG MOOD - Models of Human Decision 

Organisers:     Loïs Vanhée, Umeå University, Sweden (
<mailto:lois.vanhee at umu.se> lois.vanhee at umu.se) 

                        Melania Borit, UiT The Arctic University of Norway,
Norway ( <mailto:melania.borit at uit.no> melania.borit at uit.no)

Friederike Wall, University of Klagenfurt, Austria (
<mailto:friederike.wall at aau.at> friederike.wall at aau.at)

Vivek Nallur, University College Dublin, Ireland (
<mailto:vivek.nallur at ucd.ie> vivek.nallur at ucd.ie)

 

Models of human decision (MOODs) are one of the most central components and
added value attributed to Agent-Based Social Simulation (ABSS). Yet,
developing such models for ABSS involves accounting for an array of specific
requirements that may differ from other areas in which MOODs are applied,
such as non-player characters in video games. For example, in an ABSS
context, MOODs developers should ensure that agents are at the same time
realistic, detailed, and computationally scalable, while also accounting for
how their simulation may be used and hence impact people and societies. 

Discussions about how to advance MOODs in ABSS should involve not only
technical considerations about modelling and simulations, but also questions
on how to ground these models in relevant sciences (social sciences and
humanities, medical sciences etc.), how to show their validity, and what are
the direct and indirect ramifications of developing MOODs for ABSS.

This workshop facilitates  bottom-up in-person discussions around topics
relative to MOODs for ABSS (e.g. design, validation, documentation, ethical
implications of such models). In small groups, participants will be provided
three to five topics/questions/thought experiments. Participants may also
propose questions they wish to be discussed. The main objectives of the
workshop are to map the common interests and needs of the community
interested in MOODs and to raise awareness about alternative perspectives
and approaches relative to the topic.

This workshop is intended to be an interactive addition to the SSC 2024
Special Track Sense and Sensibility and to be a meeting point for the
<https://sites.google.com/view/sig-mood/accueil> ESSA Special Interest Group
SIG-MOOD. Register to the SIG-MOOD  <https://forms.office.com/e/a3YYR736Lv>
here.

 

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

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/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/

 

 

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

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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