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*See Bio For Account Update*

A.I.
A tool for learning or a crutch for relying?
How much inherent learning takes place when we investigate and research topics for ourselves, vs. our *trust* in A.I. engines to bring us the goods and drop it at our feet?
It's really just an Artificial Brain Machine. A search engine on steroids using conversational magic to cleverly second guess our next question and 'smart' enough to tell us what we want to hear. Then we fall in love and we go back for more. No need to challenge the Artificial Brain Machine. No proofreading. No vetting for references. No litmus test for Truth. Open wide. Breathe it in.
Maybe that's what I'll call it. An ABM. Because 'intelligence' is up for debate.
#AI vs. #ABM #research #brain #intelligence #ArtificialIntelligence

Öffentlich *
Fred

Wake up babe, new #preprint just dropped

#Economics #LaborMarkets #ABM #AgentBasedModels #Values #Norms #Networks #SocialNetworks

arxiv.org/abs/2407.20306

(Very WIP as usual.)

arXiv.orgUnemployment Benefits and Job Quality: Unveiling the Complexities of Labour Market DynamicsThis study explores the impact of unemployment benefits on employment quality, job stability, and tenure within complex labour market dynamics. Given the macroeconomic consequences of changes in unemployment benefits, including their impact on employment rates and output growth, we develop a closed macroeconomic model that integrates heterogeneous households and adaptive firms and incorporates real-world entry-exit market mechanisms. The model considers personal values, social norms, and social network formation among workers as we examine the role of social contacts in mediating the effects of unemployment benefits on job-matching quality and labour market outcomes. We simulate the model across various scenarios where unemployment benefit schemes differ in level and/or duration. Our results suggest that extending the duration of unemployment benefits does not necessarily improve job-matching quality. Longer benefits may indeed reduce the effectiveness of social networks in job finding, indicating that social contacts play a key role in labour market dynamics.
Öffentlich
Ronald Visser

Our project, Agent-Based Modelling for Archaeologists, supported by @EUErasmusPlus is completed.
We created #Open #Educational Resources (OERs) for training #archaeologists in #ABM.
The final version of the tutorials and all resources are available: abmarchaeologists.github.io/AB

All material is also downloadable from:
zenodo.org/communities/abma

Try, enjoy and share!
Doug Rocks-Macqueen, Laura van der Knaap, @izarom, Annemarie Jutte, @RonaldVisser, Tom Brughmans, Karsten Lambers and Kenneth Aitchison

abmarchaeologists.github.ioABMA
Öffentlich
Ulrike Hahn

We have a new pape on polarisation with an #ABM of naïve Bayesian agents. It ends a decade of thinking about #testimony from a #Bayesian perspective, so I thought I’d summarise that decade in a thread.

The Issue: Much of what we believe to ‘know’ we know through the testimony of others. Intuitively, how much I adjust my beliefs in response to you saying “it is snowing” should depend on how reliable/accurate you are (ie the likelihoods associated with your report) 1/9

@cogsci
@philosophy

Öffentlich *
Ulrike Hahn

#preprint We have a new #ABM called NormAN (for ‘Normative Argument Exchange Across Networks’) which we hope will help build bridges between research on #OpinionDynamics and #Argumentation research.

It captures the exchange of arguments by #Bayesian agents in a ground truth world based on a #CausalGraph. Code is #Netlogo with #R (netlogo python coming soon).

Take it for a spin!

arxiv.org/abs/2311.09254

arXiv.orgA Bayesian Agent-Based Framework for Argument Exchange Across NetworksIn this paper, we introduce a new framework for modelling the exchange of multiple arguments across agents in a social network. To date, most modelling work concerned with opinion dynamics, testimony, or communication across social networks has involved only the simulated exchange of a single opinion or single claim. By contrast, real-world debate involves the provision of numerous individual arguments relevant to such an opinion. This may include arguments both for and against, and arguments varying in strength. This prompts the need for appropriate aggregation rules for combining diverse evidence as well as rules for communication. Here, we draw on the Bayesian framework to create an agent-based modelling environment that allows the study of belief dynamics across complex domains characterised by Bayesian Networks. Initial case studies illustrate the scope of the framework.
#Complexity#Argument#ComputationalSocialScience
Öffentlich *
SReyCoyrehourcq

#HelloESR Je suis géomaticien et informaticien, ingénieur de recherche a l'Université de Rouen. Je travaille en interdisciplinaire a la construction et l'évaluation de modèles de simulation multi-agents (#netlogo #abm #openmole).
Je suis aussi passionné par l'histoire des pionnier.e.s de l'informatique en géographie et plus généralement l'épistémologie de la modélisation en shs. Ces dernieres années je me focus sur la reproductibilité et je co-anime un groupe de travail sur les #notebooks

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